{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Image Captioning with Pretrained WordVectors using RNN API\n",
    "\n",
    "In this notebook, we will explore how to generate image captions with pretrained word vectors. We will also be using the TensorFlow RNN API to implement the LSTM. We will not repeat the CNN related operations (loading weights/ inference from CNN) but use the persisted image features.\n",
    "\n",
    "## Restoration Points\n",
    "\n",
    "[RESTORE POINT: Load Numerical Captions from Disk](#RESTORE-POINT:-Load-Numerical-Captions-from-Disk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# These are all the modules we'll be using later. Make sure you can import them\n",
    "# before proceeding further.\n",
    "%matplotlib inline\n",
    "from __future__ import print_function\n",
    "import collections\n",
    "import math\n",
    "import numpy as np\n",
    "import os\n",
    "import random\n",
    "import tensorflow as tf\n",
    "from tensorflow.contrib import rnn\n",
    "import nltk\n",
    "import zipfile\n",
    "from matplotlib import pylab\n",
    "from six.moves import range\n",
    "from six.moves.urllib.request import urlretrieve\n",
    "import tensorflow as tf\n",
    "from PIL import Image\n",
    "import json\n",
    "\n",
    "import json\n",
    "from pprint import pprint\n",
    "import pickle\n",
    "\n",
    "import correct_spellings\n",
    "\n",
    "from nltk.translate import bleu_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading the Annotations\n",
    "\n",
    "Here we read the annotations of the images which are found at `image_caption_data/train_valid/annotations`. This will result with the following entities.\n",
    "\n",
    "* Dictionary mapping of the image IDs to filenames (`id_to_fname_map`)\n",
    "* Dictionary mapping of the filenames to captions (`train_fname_to_caption_map` and `valid_fname_to_caption_map`).    \n",
    "  * For example, `train_fname_to_caption_map` will be of the format `{fname1: [[cap1_w1, cap1_w2, ...], [cap2_w1, ...], [cap3_w1, ...]], fname2: [[cap1_w1, cap1_w2, ...], [cap2_w1, ...], [cap3_w1, ...]], ...}`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['COCO_val2014_000000014248.jpg', 'COCO_val2014_000000014257.jpg', 'COCO_val2014_000000014265.jpg', 'COCO_val2014_000000014271.jpg', 'COCO_val2014_000000014276.jpg', 'COCO_val2014_000000014278.jpg', 'COCO_val2014_000000014282.jpg', 'COCO_val2014_000000014285.jpg', 'COCO_val2014_000000014297.jpg', 'COCO_val2014_000000014306.jpg']\n",
      "Max caption length:  56\n",
      "Mean caption length:  10.622163885242827\n",
      "Stddev captions:  2.420075651000928\n",
      "\n",
      "Sample caption data\n",
      "[('COCO_val2014_000000514249.jpg', ['a white fire hydrant sitting next to news paper dispensers at night', 'the corner of a city street at night with a fire hydrant  ', 'a white fire hydrant at dusk sitting on a street corner', 'a white fire hydrant is next to some newspaper boxes', 'a fire hydrant that is sitting on the sidewalk']), ('COCO_val2014_000000562054.jpg', ['a close up of two zebras in a field with a blue background', 'there are two statues of zebras at a exhibit', 'there are two zebras that are standing by each other ', 'two dead stuffed giraffe standing next to each other', \"one zebra is resting his head on another zebra's back\"]), ('COCO_val2014_000000327070.jpg', ['a blue bus driving down a curvy street', 'a bus driving in a bus lane on a busy street', 'a blue bus with windows is parked and behind it is a blue walking ramp', 'a bus drives down the street under a bridge ', 'a blue liner bus traveling down the street']), ('COCO_val2014_000000183905.jpg', ['a girl holding a skewer with a banana on the end  ', 'the girl in glasses is holding a banana on a stick', 'blue and white shirted woman showing off forked fruit ', 'a woman with a banana on a skewer with trees in back', 'a woman in glasses is holding a banana on a skewer']), ('COCO_val2014_000000330204.jpg', ['a public transit bus parked with its doors open', 'a yellow and green bus parked in front of a building', 'an old fashion city bus sits in a museum ', 'a bus destined for cleveland avenue is near a building and has people moving within it', 'a vintage bus is parked under an overhang']), ('COCO_val2014_000000318683.jpg', ['a small pizza topped with red peppers green peppers and onions ', 'a pizza cut into wedges on a wooden cutting board', 'there is a puffy pizza on a cutting board', 'a cut pizza with cheese and vegetables on a table', 'a pizza on a wooden plate during the day']), ('COCO_val2014_000000544351.jpg', ['a picture of a person playing in a tennis game', 'a female tennis player is waiting to hit a ball', 'a woman tennis player stands ready to receive the ball', 'the tennis player crouches in position for the serve', 'a female tennis player standing at the baseline of the tennis court and holding her racquet with two hands']), ('COCO_val2014_000000262386.jpg', ['a white bathroom with a toilet and a roll of toilet paper', 'this toilet bowl is placed directly at the edge of the bathroom', 'a bathroom contains a toilet and roll of toilet paper ', 'a white toilet sitting in the corner of a small bathroom', 'an open white toilet next to toilet paper in a bathroom']), ('COCO_val2014_000000134926.jpg', ['a baseball pitcher throwing a baseball from the pitchers area', 'a player is on the field at a baseball game', 'a pitcher on the mound throwing a baseball', 'a man in a professional baseball game throwing a ball', 'pitcher in mid motion releasing the throw of the baseball']), ('COCO_val2014_000000320290.jpg', ['cars and buildings line the urban streets of the past', 'a row of classic american cars parked on a street next to a fire hydrant', 'old cars are lined up on the street while three billboards take the lead', 'historical photo of a city street with a church and old cars', 'a street scene from the 1930s with classic cars parked along the street'])]\n",
      "\n",
      "Sample words\n",
      "['a', 'bicycle', 'replica', 'with', 'a', 'clock', 'as', 'the', 'front', 'wheel']\n",
      "\n",
      "Sample Dictionary Items\n",
      "[('', 2), ('escalators', 3), ('preparation', 4), ('squatting', 5), ('wort', 7), ('simple', 4386), ('bodyboard', 8), ('horse', 9), ('hyrdant', 15468), ('aliens', 17550)]\n",
      "\n",
      "Sample Reverse Dictionary Items\n",
      "[(0, 'SOS'), (1, 'EOS'), (2, ''), (3, 'escalators'), (4, 'preparation'), (5, 'squatting'), (6, 'campstove'), (7, 'wort'), (8, 'bodyboard'), (9, 'horse')]\n",
      "\n",
      "Vocabulary size:  17954\n"
     ]
    }
   ],
   "source": [
    "train_file_dir = os.path.join('image_caption_data', *('train_valid','images'))\n",
    "image_filenames = [os.path.join(train_file_dir,f) for f in os.listdir(train_file_dir) if os.path.isfile(os.path.join(train_file_dir, f)) and f.endswith('.jpg')]\n",
    "train_image_filenames = image_filenames[1000:] \n",
    "test_image_filenames = image_filenames[:1000] \n",
    "\n",
    "train_image_file = os.path.join('image_caption_data',*('train_valid', 'image_encodings', 'train_image_encodings.json'))\n",
    "valid_image_file = os.path.join('image_caption_data',*('train_valid', 'image_encodings', 'valid_image_encodings.json'))\n",
    "train_image_fnames = (json.load(open(train_image_file)).keys())\n",
    "valid_image_fnames = (json.load(open(valid_image_file)).keys())\n",
    "\n",
    "def preprocess_caption(capt):\n",
    "    capt = capt.replace('-',' ')\n",
    "    capt = capt.replace(',','')\n",
    "    capt = capt.replace('.','')\n",
    "    capt = capt.replace('\"','')\n",
    "    capt = capt.replace('!','')\n",
    "    capt = capt.replace(':','')\n",
    "    capt = capt.replace('/','')\n",
    "    capt = capt.replace('?','')\n",
    "    capt = capt.replace(';','')\n",
    "    capt = capt.replace('\\' ',' ')\n",
    "    capt = capt.replace('\\n',' ') \n",
    "    \n",
    "    return capt.lower()\n",
    "\n",
    "train_filename_tails = [os.path.split(path_str)[1] for path_str in train_image_filenames]\n",
    "print(train_filename_tails[:10])\n",
    "test_filename_tails = [os.path.split(path_str)[1] for path_str in test_image_filenames]\n",
    "\n",
    "annotations_fname = os.path.join('image_caption_data', *('train_valid', 'annotations', 'captions_val2014.json'))\n",
    "data = json.load(open(annotations_fname))\n",
    "\n",
    "all_caption_string = ''\n",
    "\n",
    "# Dictionary: image-id -> filename\n",
    "id_to_fname_map = {}\n",
    "for item in data['images']:\n",
    "    id_to_fname_map[item['id']] = item['file_name']\n",
    "\n",
    "# Dictionary: filename -> caption\n",
    "train_fname_to_caption_map, valid_fname_to_caption_map = {},{}\n",
    "max_caption_length = 0\n",
    "all_cap_lengths = []\n",
    "for item in data['annotations']:\n",
    "    \n",
    "    pre_caption = preprocess_caption(item['caption'])\n",
    "    capt_len = len(pre_caption.split(' '))\n",
    "    all_cap_lengths.append(capt_len)\n",
    "    if capt_len > max_caption_length:\n",
    "        max_caption_length = capt_len\n",
    "\n",
    "    if id_to_fname_map[item['image_id']]  in train_filename_tails and id_to_fname_map[item['image_id']] in train_image_fnames:\n",
    "        if id_to_fname_map[item['image_id']] not in train_fname_to_caption_map:\n",
    "            train_fname_to_caption_map[id_to_fname_map[item['image_id']]] = [pre_caption]\n",
    "        else:\n",
    "            train_fname_to_caption_map[id_to_fname_map[item['image_id']]].append(pre_caption)\n",
    "\n",
    "        \n",
    "    elif id_to_fname_map[item['image_id']] in test_filename_tails and id_to_fname_map[item['image_id']] in valid_image_fnames:\n",
    "        \n",
    "        if id_to_fname_map[item['image_id']] not in valid_fname_to_caption_map:\n",
    "            valid_fname_to_caption_map[id_to_fname_map[item['image_id']]] = [pre_caption]\n",
    "        else:\n",
    "            valid_fname_to_caption_map[id_to_fname_map[item['image_id']]].append(pre_caption)\n",
    "\n",
    "    all_caption_string += pre_caption + ' '\n",
    "\n",
    "    \n",
    "print('Max caption length: ',max_caption_length)\n",
    "print('Mean caption length: ',np.mean(all_cap_lengths))\n",
    "print('Stddev captions: ', np.std(all_cap_lengths))\n",
    "print('\\nSample caption data')\n",
    "print(list(train_fname_to_caption_map.items())[:10])\n",
    "\n",
    "word_list = all_caption_string.split(' ')\n",
    "unique_words = list(set(word_list))\n",
    "\n",
    "dictionary = {'SOS':0, 'EOS': 1}\n",
    "for tg in unique_words:\n",
    "    dictionary[tg] = len(dictionary)\n",
    "\n",
    "reverse_dictionary = dict([(v,k) for k,v in dictionary.items()]) \n",
    "print('\\nSample words')\n",
    "print(word_list[:10])\n",
    "print('\\nSample Dictionary Items')\n",
    "print(list(dictionary.items())[:10])\n",
    "print('\\nSample Reverse Dictionary Items')\n",
    "print(list(reverse_dictionary.items())[:10])\n",
    "print('\\nVocabulary size: ',len(dictionary))\n",
    "\n",
    "assert 'horse' == reverse_dictionary[dictionary['horse']]\n",
    "\n",
    "vocabulary_size = len(dictionary)\n",
    "\n",
    "del all_caption_string, word_list, train_image_fnames, valid_image_fnames"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the Vocabulary\n",
    "Here, using the unique words we saved, we now create the `dictionary`, `reverse_dictionary` and `vocabulary_size`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Sample Dictionary Items\n",
      "[('', 2), ('escalators', 3), ('preparation', 4), ('squatting', 5), ('wort', 7), ('simple', 4386), ('bodyboard', 8), ('horse', 9), ('hyrdant', 15468), ('aliens', 17550)]\n",
      "\n",
      "Sample Reverse Dictionary Items\n",
      "[(0, 'SOS'), (1, 'EOS'), (2, ''), (3, 'escalators'), (4, 'preparation'), (5, 'squatting'), (6, 'campstove'), (7, 'wort'), (8, 'bodyboard'), (9, 'horse')]\n",
      "\n",
      "Vocabulary size:  17954\n"
     ]
    }
   ],
   "source": [
    "# Add two special tokens to the dictionary\n",
    "dictionary = {'SOS':0, 'EOS': 1}\n",
    "\n",
    "# Create an ID for each word in the unique_words\n",
    "for tg in unique_words:\n",
    "    dictionary[tg] = len(dictionary)\n",
    "\n",
    "# Create the reverse dictionary\n",
    "reverse_dictionary = dict([(v,k) for k,v in dictionary.items()]) \n",
    "\n",
    "print('\\nSample Dictionary Items')\n",
    "print(list(dictionary.items())[:10])\n",
    "print('\\nSample Reverse Dictionary Items')\n",
    "print(list(reverse_dictionary.items())[:10])\n",
    "print('\\nVocabulary size: ',len(dictionary))\n",
    "\n",
    "# Just checking if the dictionary and reverse dictionary\n",
    "# are correct\n",
    "assert 'horse' == reverse_dictionary[dictionary['horse']]\n",
    "\n",
    "vocabulary_size = len(dictionary)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading Pre-Trained GloVe Word Vectors\n",
    "You need to download the GloVe word embeddings from the official [download page](https://nlp.stanford.edu/projects/glove/). We are going to use the `glove.6B.zip file` in there. So go ahead and download that to your project home directory (that is, `ch10` folder)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "........................................\n",
      "15666 Words matched from pretrained embeddings (After matching words with 's)\n",
      "\n",
      "Sample of words not found in the embeddings\n",
      "SOS EOS  vigrin outlooking kitche campstove thath parcoring shapped warching fooda fiilled sparsly olvie teniis snowboader oldertraditional sculture broncat enscription diswasher watiting platfrom croissaninsider rididing grassin tolit ooking witb timestamped railjet yachtsboats iside trussle chirch dimmely bowlfuls truck) twoo parasailers makeing weall kiteboards bookscds snowstore spraypaint hydrgon umbrells doorwall streetsign extinguiser frotn bannas 20mph marcp portugeuse giraaffes hyrandts excersising habiat sandwhich businesswear bozes buriesd danishes pecial conforter santuary watersurfing buldings cheerywine sittting grillmaster wheee graffiti'd polythenes packes recquet underneat pictcher handknitted graphicssign sevoflurane coffeeand drining tatter handwasher motrocycle windsail tomatogreen paraskiers groffetti unseperated watrers updown gropu doubledecker amtrack ricechicken "
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "pret_embeddings = np.empty(shape=(vocabulary_size,50),dtype=np.float32)\n",
    "\n",
    "# For storing words that found in the Glove that matches the words in our dataset \n",
    "# This will be used for correcting spellings of misspelled words\n",
    "words_in_glove = [] \n",
    "\n",
    "words_found = 0 # Number of words in GloVe that matched our corpus\n",
    "found_word_ids = [] # The IDs of the found words\n",
    "\n",
    "# We read the downloaded zip file containing GloVe vectors\n",
    "with zipfile.ZipFile('glove.6B.zip') as glovezip:\n",
    "    with glovezip.open('glove.6B.50d.txt') as glovefile:\n",
    "        # Each line of GloVe represents a vector separated by spaces\n",
    "        # where first element is the word followed by the word vector\n",
    "        for li, line in enumerate(glovefile):\n",
    "            # Print progress\n",
    "            if (li+1)%10000==0: print('.',end='')\n",
    "            \n",
    "            # Decode the line to get rid of any\n",
    "            # unparsable symbols\n",
    "            line_tokens = line.decode('utf-8').split(' ')\n",
    "            \n",
    "            # Get the word\n",
    "            word = line_tokens[0]\n",
    "            \n",
    "            # Get the vector\n",
    "            vector = [float(v) for v in line_tokens[1:]]\n",
    "            \n",
    "            # Make sure the vector is length 50\n",
    "            assert len(vector)==50\n",
    "            \n",
    "            # Check if the GloVe word present in the dictionary\n",
    "            if word in dictionary.keys():\n",
    "                \n",
    "                # We get the correct spelling words for misspelled words in caption dataset\n",
    "                words_in_glove.append(word)\n",
    "                \n",
    "                # Add the vector to the correct position of the \n",
    "                # placeholder array\n",
    "                pret_embeddings[dictionary[word],:] = vector\n",
    "                \n",
    "                # Update found word ids\n",
    "                words_found += 1\n",
    "                found_word_ids.append(dictionary[word])\n",
    "                \n",
    "                # we initialize the words like person's with the embeddings of person\n",
    "                # because pretrained embeddings dont have words like person's\n",
    "                word_with_s = word + '\\'s'\n",
    "                if word_with_s in dictionary.keys():\n",
    "                    pret_embeddings[dictionary[word_with_s],:] = vector\n",
    "                    words_found += 1\n",
    "                    found_word_ids.append(dictionary[word_with_s])\n",
    "\n",
    "# Print some stats\n",
    "print('\\n%d Words matched from pretrained embeddings (After matching words with \\'s)'%words_found)\n",
    "print('\\nSample of words not found in the embeddings')\n",
    "notfound_word_ids = list(set(list(range(0,vocabulary_size))) - set(found_word_ids))\n",
    "for wid in notfound_word_ids[:100]:\n",
    "    print(reverse_dictionary[wid],end=' ')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleanining Up the Captions \n",
    "This dataset has a surprising number of spelling mistakes in the caoptions. Therefore, we correct spelling mistakes by matching the incorrect words with words already found in the GloVe file. **Note that this can take few hours (around 2-3) to run**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correcting Spellings for Training Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "peope   peopel   0.9090909090909091  ( some peopel standing on a strange little car on the road  )\n",
      "different   differet   0.9411764705882353  ( urinals at differet levels in a bathroom with a brick floor )\n",
      "watching   wawtching   0.9411764705882353  ( a family wawtching a kite hign in the air )\n",
      "doesnt   doesn't   0.9230769230769231  ( whatever is in the cooking pot doesn't look recognizable )\n",
      "across   acoss   0.9090909090909091  ( a plane glides acoss thesurface of the water )\n",
      "computer   compouter   0.9411764705882353  ( a man that is standing around next to a compouter )\n",
      "doesnt   doesn't   0.9230769230769231  ( it doesn't appear to be a beautiful day outside )\n",
      "peole   pepole   0.9090909090909091  ( there are a lot of pepole that are walking in the street )\n",
      "hanging   haning   0.9230769230769231  ( a group of people haning around a walking area )\n",
      "varying   varrying   0.9333333333333333  ( a man holding three frisbees of varrying colors  )\n",
      "giraffe   girafe   0.9230769230769231  ( a girafe standing in front of a wooden fence )\n",
      "children   chldren   0.9333333333333333  ( there are chldren out on the grass playing games )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a man opening his  mouth wide to eat a large sausage sandwhich  )\n",
      "hydrant   hydran   0.9230769230769231  ( a couple of cars parked next to a fire hydran )\n",
      "misshapen   mishapen   0.9411764705882353  ( the bathroom tiles are eccentrically stylishly mishapen and uneven )\n",
      "shirt   tshirt   0.9090909090909091  ( a person wearing a tshirt is cutting a piece of paper using scissors )\n",
      "airplanes   airlanes   0.9411764705882353  ( a kuwait airlanes jumbo jet docked at an airport terminal with other planes behind it on the runway )\n",
      "giraffe   giraffee   0.9333333333333333  ( two zebras and a giraffee are seen at a zoo )\n",
      "starbucks   stabucks   0.9411764705882353  ( a banana a muffin and a stabucks coffee )\n",
      "marshmallows   marshmellows   0.9166666666666666  ( a bowl of banana's sprinkels chocolate chips and marshmellows )\n",
      "marshmallows   marshmellows   0.9166666666666666  ( bananas marshmellows chocolate chips and sprinkles in a bowl )\n",
      "accessories   accesories   0.9523809523809523  ( computer monitor and accesories sitting on a desk )\n",
      "questioning   questioningly   0.9166666666666666  ( a child eating a slice of pizza loosing questioningly at the photographer )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train stopped at a station where people are waiting )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a sandwhich a salad and a drink on a tray )\n",
      "animal   animal>   0.9230769230769231  ( a person standing next to a large animal> )\n",
      "giraffe   girafffe   0.9333333333333333  ( a women that is feeding some kind of girafffe )\n",
      "pastries   pasteries   0.9411764705882353  ( there are pasteries with winnies inside of them on display for sale  )\n",
      "winnie   winnies   0.9230769230769231  ( there are pasteries with winnies inside of them on display for sale  )\n",
      "squatting   squating   0.9411764705882353  ( a lady squating next to a suitcase typing on a cell phone )\n",
      "holding   holdiing   0.9333333333333333  ( a person is holdiing a kite in a field )\n",
      "children   chldren   0.9333333333333333  ( a living room for a family with chldren )\n",
      "photographs   photograpohs   0.9565217391304348  ( a living room cluttered with books and photograpohs )\n",
      "parke   parket   0.9090909090909091  ( a parket meter sitting next to a parking space )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man throws a frisbe on a sandy beach  )\n",
      "individuals   individauls   0.9090909090909091  ( individauls gathered outside a building and an american flag at half mast )\n",
      "sanctuary   santuary   0.9411764705882353  ( beautiful unusual bird inside of a bird santuary )\n",
      "\n",
      "\tCompleted 1000/39500\n",
      "\n",
      "frisbee   frisbe   0.9230769230769231  ( a group of people in the park play a game of frisbe  )\n",
      "horses   (horses   0.9230769230769231  ( various equine (horses and zebras) inside stalls under a tent )\n",
      "zebras   zebras)   0.9230769230769231  ( various equine (horses and zebras) inside stalls under a tent )\n",
      "frisbee   frisbeen   0.9333333333333333  ( two children attempting to catch a frisbeen on a stretch of grass )\n",
      "jacket   acket   0.9090909090909091  ( a close up of a tennis player with a ball and acket )\n",
      "floors   foors   0.9090909090909091  ( a living room with hardwood foors  a tv and table )\n",
      "while   whikle   0.9090909090909091  ( the businessman has his boxing gloves on whikle he waits )\n",
      "colgate   'colgate   0.9333333333333333  ( a large outdoor clock with the name 'colgate on it is shown from close up )\n",
      "patron   patrion   0.9230769230769231  ( a sad clown with a patrion at the event )\n",
      "skateboarding   skatebarding   0.96  ( a shirtless man skatebarding on a sidewalk by other people  )\n",
      "signing   swigning   0.9333333333333333  ( a tennis player swigning a racket at a ball )\n",
      "motocycle   motrocycle   0.9473684210526315  ( there is a nice tricycle motrocycle parked on a sidewalk )\n",
      "riding   rding   0.9090909090909091  ( a woman is rding a horse with a hat  )\n",
      "tying   tyring   0.9090909090909091  ( a few signs tyring to get people to eat at a restaurant )\n",
      "strawberry   stawberry   0.9473684210526315  ( a couple of stawberry bagels fresh stawberries and coffee )\n",
      "strawberries   stawberries   0.9565217391304348  ( a couple of stawberry bagels fresh stawberries and coffee )\n",
      "shoes   shoers   0.9090909090909091  ( three snow shoers trekking across a snow covered field carrying something on their backs )\n",
      "bathroom   batroom   0.9333333333333333  ( a batroom with mirrors and sinks with a reflection of two people in a mirror while one takes a picture )\n",
      "clock   'clock   0.9090909090909091  ( a giant cement clock says it is almost 11 o 'clock )\n",
      "standin   standint   0.9333333333333333  ( a man standint by a little fence for a bus stop )\n",
      "umbrella   umberella   0.9411764705882353  ( a women walking in rain with an umberella )\n",
      "herself   herslf   0.9230769230769231  ( a woman is standing in a room taking a picture of herslf )\n",
      "umbrella   umberella   0.9411764705882353  ( a person looking out their garage holding an umberella )\n",
      "motorcycles   motorycles   0.9523809523809523  ( motorycles parked and lined up beside each other )\n",
      "fighter   figher   0.9230769230769231  ( a figher jet creating condensation flying through the blue sky )\n",
      "bunch   buncch   0.9090909090909091  ( a buncch of food is laying out on a table )\n",
      "parked   parkded   0.9230769230769231  ( a man standing on a sidewalk outside a parkded bus )\n",
      "pizza   pizzaa   0.9090909090909091  ( there are two pizzaa and two glasses of wine on the table )\n",
      "refrigerator   refridgerator   0.96  ( a small kitchen area with a stove and a refridgerator )\n",
      "chefs   cheifs   0.9090909090909091  ( there are a lot of cheifs that are out cooking on a photo )\n",
      "steer   streer   0.9090909090909091  ( a bunch of water covering a lot of stuff in the streer )\n",
      "horses   horeses   0.9230769230769231  ( there are two people riding horeses on the beach shore  )\n",
      "player   playerr   0.9230769230769231  ( a tennis playerr in motion hitting a tennis ball )\n",
      "woman   awoman   0.9090909090909091  ( awoman is holding a snow board as she prepares to use it )\n",
      "broccoli   brocoli   0.9333333333333333  ( a plate of roast beef in barbeque sauce with brocoli and carrots  )\n",
      "drinking   drining   0.9333333333333333  ( a giraffe is drining water at the drinking pond )\n",
      "large   largge   0.9090909090909091  ( a largge polar bear smelling the grass looking for food )\n",
      "mountain   mountainn   0.9411764705882353  ( a dog and a person stand on an edge with a mountainn in the back ground )\n",
      "refrigerator   refridgerator   0.96  ( a kitchen view of a table sink cabinets stools and refridgerator )\n",
      "frisbee   frisbe   0.9230769230769231  ( two men playing frisbe on an indoor court )\n",
      "\n",
      "\tCompleted 2000/39500\n",
      "\n",
      "pitcher   pictcher   0.9333333333333333  ( a kitchen has white cabinets a wooden island and a red pictcher holding various instruments )\n",
      "refrigerator   refridgerator   0.96  ( a renovated kitchen with wooden cabinets and white refridgerator )\n",
      "cheesesteak   cheeseteak   0.9523809523809523  ( a cheeseteak sandwich is shown on a plate )\n",
      "victims   victim's   0.9333333333333333  ( a bloody arm with iv's inserted into an injury victim's arm are depicted in this graphic shot )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cabinets   cabinents   0.9411764705882353  ( a line of unfinished cabinents in a warehouse )\n",
      "equestrian   esquestrian   0.9523809523809523  ( an esquestrian obsticle designed to look like a zebra )\n",
      "grazing   grazzing   0.9333333333333333  ( a picture of a field with multiple animals grazzing )\n",
      "direct   'direct   0.9230769230769231  ( several rows of track with a 'direct rail services train on the furthest one  )\n",
      "suitcases   suitecases   0.9473684210526315  ( two images of open suitecases full of toiletries  )\n",
      "display   displayn   0.9333333333333333  ( lovely  clean dark set kitchen displayn newly remodeled )\n",
      "giraffe   girraffe   0.9333333333333333  ( a giraffe with a man sitting in front of the girraffe )\n",
      "giraffe   giraff   0.9230769230769231  ( a man sitting in a chair next to a giraff )\n",
      "shredding   shreddin   0.9411764705882353  ( a kite surfer killin it while shreddin the gnar )\n",
      "feild   feilds   0.9090909090909091  ( a train moving on train tracks next to a grass feilds )\n",
      "pieces   piecces   0.9230769230769231  ( a pizza has been cut into four piecces )\n",
      "skateboard   skateboaard   0.9523809523809523  ( a man is grinding a block on a skateboaard )\n",
      "clocktower   clocktowner   0.9523809523809523  ( a tall building with a clocktowner and sky in the background )\n",
      "cabinets   cainets   0.9333333333333333  ( this kitchen is very big and has wood cainets )\n",
      "carrots   carrotts   0.9333333333333333  ( there is a basket of vegetables like carrotts and peppers  )\n",
      "\n",
      "\tCompleted 3000/39500\n",
      "\n",
      "refrigerator   refridgerator   0.96  ( magnets that have been placed on a refridgerator )\n",
      "irving   irvings   0.9230769230769231  ( an orange irvings of carlisle bus is in the street )\n",
      "multicolored   mulicolored   0.9565217391304348  ( this is a mulicolored stripe sun umbrella near a palm tree )\n",
      "backsplash   blacksplash   0.9523809523809523  ( a small bathroom with grey tile and a vivid red blacksplash in the shower )\n",
      "trading   traing   0.9230769230769231  ( short traing coming down the tacks in the middle of the woods )\n",
      "inquisitive   inquisitively   0.9166666666666666  ( a young giraffe peers inquisitively at the photographer )\n",
      "eatin   eattin   0.9090909090909091  ( some sheep chillin a pasture eattin some blades of grass  )\n",
      "moving   movng   0.9090909090909091  ( a freight train movng down the tracks with another train on another track behind it )\n",
      "knife   knifea   0.9090909090909091  ( pizza on a tray with a knifea fork and a cup )\n",
      "colander   collander   0.9411764705882353  ( raw broccoli is sitting inside of the collander )\n",
      "metropolitan   metropolitam   0.9166666666666666  ( vehicle traffic on a paved road in a large metropolitam area )\n",
      "electronic   electonic   0.9473684210526315  ( a kitchen with an electonic device above the sink  )\n",
      "bridge   bridgea   0.9230769230769231  ( a bridgea bench and lots of trees and branches )\n",
      "nightime   nightitme   0.9411764705882353  ( the pedestrian crosses the lit city street at nightitme )\n",
      "surfboards   surfboarders   0.9090909090909091  ( four surfboarders are carrying their boards on the beach )\n",
      "sandwich   sandwitch   0.9411764705882353  ( a sliced salmon sandwitch with onions on round bread )\n",
      "lookin   lookign   0.9230769230769231  ( a oool lookign stop sign by a murky bog hill )\n",
      "floors   flors   0.9090909090909091  ( the spacious kitchen has hardwood flors and a large island )\n",
      "including   (including   0.9473684210526315  ( a milk carton and plate of food (including a hot dog and grape juice) sits on a place mat )\n",
      "doesnt   doesn't   0.9230769230769231  ( one building has a clock and the other one doesn't )\n",
      "doesnt   doesn't   0.9230769230769231  ( i hope that he doesn't get hit by a car while talking on his phone and walking across the street )\n",
      "sunbathers   sunbathes   0.9473684210526315  ( a small figurine sunbathes with an umbrella for shade )\n",
      "various   varous   0.9230769230769231  ( varous pastries sitting on plates one of them partially eaten )\n",
      "multiple   mutiple   0.9333333333333333  ( a desk with mutiple computers sitting on top of it )\n",
      "beautiful   beatiful   0.9411764705882353  ( a beatiful young woman playing a game of tennis )\n",
      "worrying   'worrying   0.9411764705882353  ( a stop sign with the word 'worrying added to it  )\n",
      "doesnt   doesn't   0.9230769230769231  ( she must tie her shoe first so that she doesn't trip )\n",
      "television   telelvision   0.9523809523809523  ( a living room with a leather couch and a telelvision )\n",
      "giraffe   giraffee   0.9333333333333333  ( thre are a giraffee in the green walking  )\n",
      "billabong   bllabong   0.9411764705882353  ( a bllabong sign is directly is sitting in the studio  )\n",
      "\n",
      "\tCompleted 4000/39500\n",
      "\n",
      "couple   couplee   0.9230769230769231  ( a couplee of kids are playing on a tennis court )\n",
      "stree   streen   0.9090909090909091  ( two men walking down a city streen next to a blue pole )\n",
      "woman   womand   0.9090909090909091  ( a womand in all black behind to white dogs )\n",
      "capris   capri's   0.9230769230769231  ( girl wearing sunglasses dark shirt and demin capri's playing frisbee on a beautiful sunny day )\n",
      "hotdogs   hotdgs   0.9230769230769231  ( three hotdgs on a dark plate have been topped with mustard )\n",
      "pacifier   pacifer   0.9333333333333333  ( an image of a child lying in bed with pacifer )\n",
      "savannah   savanah   0.9333333333333333  ( a giraffe standing next to some trees on a savanah )\n",
      "juicer   juicery   0.9230769230769231  ( a juicery displays rows of fruits along the front of the shop )\n",
      "numerous   numerious   0.9411764705882353  ( atrium with numerious colorful umbrellas on the ceiling )\n",
      "toothbrush   tootbrush   0.9473684210526315  ( cluttered white shelf with tootbrush toothpaste and hairbrush )\n",
      "saying   sayig   0.9090909090909091  ( a picture of a busy asian street with a sign sayig sasa )\n",
      "surfboard   surboard   0.9411764705882353  ( a personon riding a surboard among a lot of surf in the ocean )\n",
      "preparation   preperation   0.9090909090909091  ( assorted vegetable along with cheese and nuts for food preperation )\n",
      "nunchuk   nunchuck   0.9333333333333333  ( a women holds onto a nintendo wii mote and nunchuck )\n",
      "giraffes   giraaffes   0.9411764705882353  ( giraaffes tanding around a tree as people watching them  )\n",
      "standing   tanding   0.9333333333333333  ( giraaffes tanding around a tree as people watching them  )\n",
      "bulding   buliding   0.9333333333333333  ( a very old airplane that is inside a buliding )\n",
      "grazing   grazng   0.9230769230769231  ( a zebra grazng near a tree in a grassland )\n",
      "\n",
      "\tCompleted 5000/39500\n",
      "\n",
      "sandwich   sandwhich   0.9411764705882353  ( a dinner table shot of a person holding a sandwhich accompanied by fries and beverages  )\n",
      "carrots   carrrots   0.9333333333333333  ( a dish with meat and carrrots sitting on a stove )\n",
      "starbucks   starbuck's   0.9473684210526315  ( a sandwich on a plate and a cup of starbuck's coffee in a to go cup  )\n",
      "airways   airways)   0.9333333333333333  ( three blue and white ana (all nippon airways) airplanes at an airport )\n",
      "doesnt   doesn't   0.9230769230769231  ( a blue and white sign that doesn't allow something )\n",
      "towing   towling   0.9230769230769231  ( a professional tennis player towling off his head )\n",
      "shirt   tshirt   0.9090909090909091  ( a pink suitcase has graffiti beside a guitar and radio and tshirt )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man running over to the frisbe to throw it back  )\n",
      "refrigerator   refridgerator   0.96  ( a black refridgerator has several things hanging on it )\n",
      "several   severals   0.9333333333333333  ( a pole witha severals signs on it with a building behind it )\n",
      "hydrant   hydran   0.9230769230769231  ( a hydran in a snow covered field overlooking a lake )\n",
      "catchers   cathers   0.9333333333333333  ( a baseball player wearing cathers protection on a field )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger bus stopped on a street advertising a dinosaur exhibit )\n",
      "surface   suface   0.9230769230769231  ( a number of people riding skis on a snowy suface )\n",
      "countertop   counterop   0.9473684210526315  ( newly finished bathroom with ceramic tile and counterop )\n",
      "sphinx   spinx   0.9090909090909091  ( a creepy spinx statue suspended to the front end of a dump truck )\n",
      "refrigerator   refridgerator   0.96  ( a kitchen with a large newer looking refridgerator )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "owner   ownder   0.9090909090909091  ( an ownder of a dog takes a picture of the dog in the back seat )\n",
      "frisbee   frisbe   0.9230769230769231  ( a person holding a water bpttle and throwing a frisbe  )\n",
      "stairs   stairs]   0.9230769230769231  ( a dog sitting on top of stairs] with a red bow tie )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a long sub sandwhich with salomi and cheese )\n",
      "raquet   raqcuet   0.9230769230769231  ( a girl swings a raqcuet at a tennis ball )\n",
      "fuschia   fushia   0.9230769230769231  ( a humming bird above a fushia flower among green plants  )\n",
      "labrador   laborador   0.9411764705882353  ( a yellow laborador laying in the grass holding a blue frisbee in its mouth )\n",
      "smiles   smies   0.9090909090909091  ( a man playing guitar smies into the camera )\n",
      "doesnt   doesn't   0.9230769230769231  ( the little girl doesn't want to keep sitting in her seat )\n",
      "fluorescent   florescents   0.9090909090909091  ( careful bicycle riders add florescents to their clothes for safety in the dark )\n",
      "statute   satute   0.9230769230769231  ( a satute in a field of grass near a plant  )\n",
      "picture   piture   0.9230769230769231  ( a fresh flower on a table in a piture of water )\n",
      "equestrian   equestrianne   0.9090909090909091  ( female equestrianne riding a paint horse in a dressage competition )\n",
      "frisbee   frisbe   0.9230769230769231  ( a person jumps in the air after a frisbe  )\n",
      "\n",
      "\tCompleted 6000/39500\n",
      "\n",
      "bananas   banansas   0.9333333333333333  ( a table covered with banansas and a coconut )\n",
      "dominos   domino's   0.9333333333333333  ( a building with a domino's pizza on the bottom of it  )\n",
      "dominos   domino's   0.9333333333333333  ( a tall brick building above a domino's pizza )\n",
      "topped   toped   0.9090909090909091  ( a piece of toast on a plate toped with egg pepper and ham  )\n",
      "animal   anmal   0.9090909090909091  ( a toddler is carrying a stuffed anmal while the adult holding her is smiling for the camera )\n",
      "pineapple   pinepple   0.9411764705882353  ( a sliced pizza with pinepple sitting on a pizza pan  )\n",
      "phone   phone'   0.9090909090909091  ( a cell phone with a message 'i love this phone' )\n",
      "bounces   bouncs   0.9230769230769231  ( a nice bed is delicately laid out for bouncs )\n",
      "train   ttrain   0.9090909090909091  ( an old ttrain sitting on some tracks behind a train  )\n",
      "veggies   vegies   0.9230769230769231  ( two containers are shown packed with meat cheese and vegies )\n",
      "ingredients   ingridients   0.9090909090909091  ( a boy is helping a girl put ingridients in the blender  )\n",
      "broccoli   broccolli   0.9411764705882353  ( delicious looking meal of some type of stew and colorful broccolli )\n",
      "treed   tree'd   0.9090909090909091  ( giraffe walking in dense tree'd forest on clear day )\n",
      "carving   carveing   0.9333333333333333  ( a person is carveing their way down a ski slop )\n",
      "parked   parkd   0.9090909090909091  ( a bright yellow police motorcycle parkd in the road )\n",
      "mountains   moutains   0.9411764705882353  ( a car flying a kite in the dessert with moutains in the background )\n",
      "description   enscription   0.9090909090909091  ( an old fashioned red and white tour bus with the enscription buddy holly and the crickets )\n",
      "truck   trunck   0.9090909090909091  ( large elephant standing in enclosure with curled trunck )\n",
      "camera   camersa   0.9230769230769231  ( a big grizzly bear looks toward the camersa )\n",
      "different   diffrent   0.9411764705882353  ( diffrent kinds of signs on a pole  )\n",
      "background   backgroun   0.9473684210526315  ( two elephants walking in captivity with a building in the backgroun )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a hand holding up may o dressing next to a sandwhich )\n",
      "multicolored   mulitcolored   0.9166666666666666  ( a mulitcolored plane is flying in the sky )\n",
      "video   avideo   0.9090909090909091  ( four people and two of them are playing avideo game )\n",
      "scribbled   scibbled   0.9411764705882353  ( a white paper scibbled with blue ink near a computer keyboard )\n",
      "children   hildren   0.9333333333333333  ( adult watching hildren flying kites in an open field )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a pizza with cheese peppers pepperonis and a melted cheese crust )\n",
      "shirt   tshirt   0.9090909090909091  ( a young man is playing tennis in a white tshirt )\n",
      "\n",
      "\tCompleted 7000/39500\n",
      "\n",
      "person   personr   0.9230769230769231  ( a personr is standing in shallow water holding a surfboard )\n",
      "frisbee   frisbe   0.9230769230769231  ( a dog with a frisbe in its mouth walking through the water  )\n",
      "snowboarder   snowboarded   0.9090909090909091  ( a snowboarded catching air jumping off a slope  )\n",
      "bodyboard   bodyboards   0.9473684210526315  ( two girls riding on bodyboards in the water )\n",
      "doesnt   doesn't   0.9230769230769231  ( it doesn't appear that anyone is waiting on the bus )\n",
      "refrigerator   frigerator   0.9090909090909091  ( inside someones frigerator in it are milk hot dogs mustard and  others )\n",
      "vegetables   vegetagbles   0.9523809523809523  ( a plate of stir fry vegetagbles with some brown sauce )\n",
      "tight   tighty   0.9090909090909091  ( a man wearing a short skirt and tighty whities )\n",
      "peple   peaple   0.9090909090909091  ( a clock with a statue of many peaple )\n",
      "building   buildig   0.9333333333333333  ( a buildig with windows near trees and rocks )\n",
      "skiing   skieing   0.9230769230769231  ( a man skieing down a hill with no poles )\n",
      "kalakaua   kalakau   0.9333333333333333  ( a pole with two signs that read kalakau and paoakalani avenue )\n",
      "bottom   bottom)   0.9230769230769231  ( a somewhat dirty older looking two door (top and bottom) refrigerator )\n",
      "silhouetted   silhoetted   0.9523809523809523  ( a large commercial airliner silhoetted in the sun )\n",
      "bananas   bannanas   0.9333333333333333  ( many pienapples and bannanas sitting on a stand )\n",
      "peope   peopel   0.9090909090909091  ( a bunch fo peopel kick back and rela on a couch )\n",
      "there   theree   0.9090909090909091  ( theree zebras are standing and grazing on the plain  )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( this looks like a mcdonald's in a chinese or japanese community )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a woman is walking outside of a mcdonald's in asia )\n",
      "window   windown   0.9230769230769231  ( a brown colored couch in a room with a large windown wood flooring and a brown rug in the center of the floor )\n",
      "vegetables   vegtables   0.9473684210526315  ( a hot dog pastry and a pile of vegtables ont he side )\n",
      "varity   varitey   0.9230769230769231  ( a doughnut display case is shown with a varitey )\n",
      "moving   movig   0.9090909090909091  ( a commuting train movig through a rail yard with tracks on )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger bus stopped by the side of the road )\n",
      "washbasin   washbasins   0.9473684210526315  ( the view of a bathroom with washbasins and a large mirror )\n",
      "behind   behid   0.9090909090909091  ( the bedroom has a red and white patterned wall behid the bed )\n",
      "plate   aplate   0.9090909090909091  ( a brocolli pasta and meat meal on  aplate )\n",
      "refrigerator   refridgerator   0.96  ( two babies that are playing with magnets on the refridgerator  )\n",
      "embedded   embeded   0.9333333333333333  ( a building made of brick with two clocks embeded into the wall  )\n",
      "inspection   insection   0.9473684210526315  ( a stop sign with a street sign above it at an insection )\n",
      "grill   agrill   0.9090909090909091  ( a couple of hot dogs that are on agrill )\n",
      "picture   pictture   0.9333333333333333  ( a pictture of cooked squash broccolli mushrooms onions and another vegetable )\n",
      "broccoli   broccolli   0.9411764705882353  ( a pictture of cooked squash broccolli mushrooms onions and another vegetable )\n",
      "ladder   (ladder   0.9230769230769231  ( a fire truck (ladder truck) drives down a street in the city )\n",
      "truck   truck)   0.9090909090909091  ( a fire truck (ladder truck) drives down a street in the city )\n",
      "\n",
      "\tCompleted 8000/39500\n",
      "\n",
      "vegetables   vegeatables   0.9523809523809523  ( a small plate with some vegeatables being held by a person )\n",
      "blended   bleneded   0.9333333333333333  ( a purple smoothie inside of a blender bleneded )\n",
      "holding   hoding   0.9230769230769231  ( a man is hoding a large hotdog outside )\n",
      "ridden   riden   0.9090909090909091  ( a motorcycle is being riden by a young man )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frisbee   frisbe   0.9230769230769231  ( a montage of a man throwing a frisbe  )\n",
      "broccoli   broccolli   0.9411764705882353  ( a close up of a bowl with vegetables with broccolli )\n",
      "google   googley   0.9230769230769231  ( a pink monster made out of a toilet seat with googley eyes )\n",
      "lasagna   lasangna   0.9333333333333333  ( this to me looks like a giant piece of lasangna pizza )\n",
      "written   writtien   0.9333333333333333  ( a freeway traffic sign writtien in an asian language )\n",
      "spraypainted   spraypaint   0.9090909090909091  ( spraypaint tag on the side of a commuter train car at a station )\n",
      "racquets   raquets   0.9333333333333333  ( a few people with tennis raquets in front of the net )\n",
      "hotel   ahotel   0.9090909090909091  ( a woman in a congested kitchen in ahotel )\n",
      "ceiling   celing   0.9230769230769231  ( people walking in a museum with a airplane hanging from the celing )\n",
      "umbrellas   umberellas   0.9473684210526315  ( two people with umberellas standing on the river path )\n",
      "bathroom   batroom   0.9333333333333333  ( a long narrow batroom with a sink mirrors and toilet )\n",
      "computers   comuters   0.9411764705882353  ( there is a office with a lot of comuters and a book case  )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a mcdonald's restaurant is in the middle of a city )\n",
      "\n",
      "\tCompleted 9000/39500\n",
      "\n",
      "statue   sttatue   0.9230769230769231  ( this is a man next to a sttatue )\n",
      "hydrant   hydraunt   0.9333333333333333  ( a white fire hydraunt sits next to a street )\n",
      "contain   containg   0.9333333333333333  ( an unmade child's bed sits next to a doll bed containg stuffed toys )\n",
      "grassing   grassin   0.9333333333333333  ( three zebras are walking on the grassin front of a hill )\n",
      "dressed   dressded   0.9333333333333333  ( a man wearing glasses and dressded in a suit and tie looks ready to say something )\n",
      "cellphone   cellophone   0.9473684210526315  ( a cellophone broken into pieces by a womans feet )\n",
      "refrigerator   refridgerator   0.96  ( two lone wine bottles are in an empty refridgerator  )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a pizza with pepperonis tomatoes and cheese on a pan )\n",
      "reenactment   reinactment   0.9090909090909091  ( two cival war reinactment soldiers riding on horses   )\n",
      "heading   hearding   0.9333333333333333  ( a person on horse with a dog hearding cows in a pasture )\n",
      "racket   rackett   0.9230769230769231  ( a tennis rackett with a tennis ball sitting on top )\n",
      "refrigeration   refridgeratio   0.9230769230769231  ( a kitchen full of cabinets a stove sink and refridgeratio )\n",
      "racket   rackett   0.9230769230769231  ( a man standing in the grass holding a tennis rackett )\n",
      "shirt   tshirt   0.9090909090909091  ( a man with a tshirt and tie staring into the camera )\n",
      "bulding   buliding   0.9333333333333333  ( large open empty chest in an abandoned rundown buliding  )\n",
      "attempting   attemping   0.9473684210526315  ( a boy attemping a jump with his skateboard in a parking lot  )\n",
      "glass   glases   0.9090909090909091  ( a man with a bald head wearing a pair of glases )\n",
      "petal   pestal   0.9090909090909091  ( a mortar and pestal filled with a variety of ingredients )\n",
      "anther   antoher   0.9230769230769231  ( there are two elephants standing next to one antoher )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a female sitting on a bench with a sandwhich up to her face )\n",
      "middle   emiddle   0.9230769230769231  ( an old boat sitting in th emiddle of a field )\n",
      "porcelain   porcelin   0.9411764705882353  ( a bathroom with a white porcelin toilet on a tile floor )\n",
      "comfy   compfy   0.9090909090909091  ( a large compfy leather chair with a remote control and a laptop )\n",
      "window   winow   0.9090909090909091  ( a man sitting in a kitchen winow holding onto a phone )\n",
      "doesnt   doesn't   0.9230769230769231  ( he doesn't look very happy to be having only broccoli for dinner )\n",
      "kitty   knitty   0.9090909090909091  ( two books are shown knitty knits and teach yourself sock knitting )\n",
      "\n",
      "\tCompleted 10000/39500\n",
      "\n",
      "street   streeta   0.9230769230769231  ( a scene of a streeta bus for tourists is standing )\n",
      "asparagus   asparragus   0.9473684210526315  ( asparragus lemons and a bowl of rice on a counter top )\n",
      "laptop   latop   0.9090909090909091  ( a man looking at his latop as he sits in a chair )\n",
      "control   cotrol   0.9230769230769231  ( a close up of a monitor with a mouse and cotrol )\n",
      "pepperoni   peperoni   0.9411764705882353  ( slices of peperoni pizza on a paper plate )\n",
      "beige   beighe   0.9090909090909091  ( two beighe chairs sit on each side of the drawers )\n",
      "doesnt   doesn't   0.9230769230769231  ( a new kitchen doesn't have the countertops yet )\n",
      "streetlamps   streetlamp   0.9523809523809523  ( a sign on a streetlamp reads resident permit parking only )\n",
      "flying   flyiing   0.9230769230769231  ( a woman on the beach flyiing a kite )\n",
      "walking   walkling   0.9333333333333333  ( a man wearing a suit and tie and carrying something walkling down the street )\n",
      "shirt   tshirt   0.9090909090909091  ( a young boy in a blue tshirt rides a skateboard )\n",
      "nintendo   ninendo   0.9333333333333333  ( two girls play ninendo wii while standing in front of a couch )\n",
      "standing   stading   0.9333333333333333  ( an elephant stading behind some tall grasses and staring at the camera )\n",
      "stake   stacke   0.9090909090909091  ( four pieces of luggage stacke on top of one another )\n",
      "computer   computera   0.9411764705882353  ( on a table a computera laptoppapersbookssome eatables in a tray and other things are kept )\n",
      "mirrors   mirros   0.9230769230769231  ( a small tiled bathroom with several mirros of varying shape )\n",
      "striking   stricking   0.9411764705882353  ( a woman stricking a tennis ball with her tennis racket on the court )\n",
      "toothbrush   tootbrush   0.9473684210526315  ( an image of a girl with a blue wig and a tootbrush )\n",
      "snuggling   snugging   0.9411764705882353  ( a couple of baby elephants snugging trunks while standing on a  dirt field )\n",
      "amenities   ammenities   0.9473684210526315  ( the ammenities at a popular luxurious travel destination )\n",
      "intersection   intersecction   0.96  ( an ice cream truck turning a corner at the intersecction )\n",
      "table   tablea   0.9090909090909091  ( a laptop is kept on the tablea person is sitting on other table )\n",
      "different   diferent   0.9411764705882353  ( the lady is eating  diferent kinds of food )\n",
      "recovery   recovey   0.9333333333333333  ( a recovey crew dressed in blue at an airplane crash site )\n",
      "motorbikes   motorbikers   0.9523809523809523  ( a group of motorbikers racing on a field in a competition )\n",
      "dominos   domino's   0.9333333333333333  ( a single open box of domino's pizzas amongst a bunch of closed boxes )\n",
      "wakeboard   wakeboards   0.9473684210526315  ( some people in the ocean splash with some wakeboards )\n",
      "holding   holdng   0.9230769230769231  (  a man is holdng a mic while looking onto a screen   )\n",
      "enclosure   enlosure   0.9411764705882353  ( sheep having a meal in their small enlosure )\n",
      "giraffe   giraff   0.9230769230769231  ( the back of a man looking at an adult giraff )\n",
      "hydrant   hyrdrant   0.9333333333333333  ( a close up of a green and white fire hyrdrant next to a side walk with trees )\n",
      "\n",
      "\tCompleted 11000/39500\n",
      "\n",
      "driving   riving   0.9230769230769231  ( the big red bus is riving past the crowd of people on the sidewalk )\n",
      "lettuce   lettce   0.9230769230769231  ( a cutting board with a knife tomato and lettce on it  )\n",
      "building   buildng   0.9333333333333333  ( a city clock with a tower in the front of a buildng )\n",
      "motorcycles   motorcylces   0.9090909090909091  ( a pair of yellow and green motorcylces with flame designs running down them )\n",
      "volcano   volcanoe   0.9333333333333333  ( there is a lot of ash coming out of the volcanoe )\n",
      "skateboarder   skaterboarder   0.96  ( a skaterboarder getting major air over some stairs during a night time shoot )\n",
      "mobile   imobile   0.9230769230769231  ( an image of a couple of trains on the tracks imobile )\n",
      "vegetables   vegtables   0.9473684210526315  ( a plate of food with vegtables and meat )\n",
      "reaching   reachiing   0.9411764705882353  ( a man reachiing in to a basket filled with oranges )\n",
      "walled   swalled   0.9230769230769231  ( a man being swalled by a wave while surfing in the water  )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tattoos   tattos   0.9230769230769231  ( a nman with tattos picks up food from a table )\n",
      "restaurant   resturant   0.9473684210526315  ( evening dinner and conversation with family and friends at resturant )\n",
      "hanging   haging   0.9230769230769231  ( an arrangement of flowers in a clear glass canning jar haging on a wall )\n",
      "baseball   babseball   0.9411764705882353  ( a young boy poses in his babseball uniform holding his bat on a field )\n",
      "balloons   baloons   0.9333333333333333  ( a man without a shirt and some white blue and pink baloons )\n",
      "different   diffrent   0.9411764705882353  ( four diffrent bowl with food in them  )\n",
      "doughnuts   doughtnuts   0.9473684210526315  ( a box full of different kinds of doughtnuts )\n",
      "freeze   freez   0.9090909090909091  ( a bunch of people on a beach with a freez be )\n",
      "table   tasble   0.9090909090909091  ( a person that is cutting a cake on a tasble )\n",
      "enclosure   enclousure   0.9473684210526315  ( child placing food in an elephants trunk in enclousure )\n",
      "siting   sitiing   0.9230769230769231  ( a woman sitiing on the top step in front of a door )\n",
      "swinging   swining   0.9333333333333333  ( there is a man that is swining a baseball bat )\n",
      "couch   courch   0.9090909090909091  ( a black cat and a brown dog sited on a courch )\n",
      "sandwich   sanwich   0.9333333333333333  ( a plate with a grilled sanwich next to a bowl of tomato soup )\n",
      "incoming   incomming   0.9411764705882353  ( a batter that is ready to hit the next incomming pitch )\n",
      "\n",
      "\tCompleted 12000/39500\n",
      "\n",
      "subway   subaway   0.9230769230769231  ( someone holding up there cell phone in a subaway station  )\n",
      "ridding   rididing   0.9333333333333333  ( a dog with shades on rididing in a car )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( two trolley cars drive down a street with a mcdonald's and people in the background )\n",
      "bunkbeds   bunkbed   0.9333333333333333  ( a small wooden bunkbed sits in the corner of a room near some windows )\n",
      "bottle   bottlec   0.9230769230769231  ( a cat rubbing its face against a bottlec )\n",
      "eating   eatting   0.9230769230769231  ( a woman is eatting a hotdog at a wooden table )\n",
      "refrigerator   refridgerator   0.96  ( a kitchen with refridgerator sitting on top of a tiled floor )\n",
      "showing   shoing   0.9230769230769231  ( a window shoing a man standing alone on a train platform )\n",
      "platform   plateform   0.9411764705882353  ( a man standing on a train plateform as a train is passing by )\n",
      "breast   breat   0.9090909090909091  ( several chunks of breat on a cutting board and a plate with a lemon some vegetables and a grater on it )\n",
      "sting   stiing   0.9090909090909091  ( a cat stiing by a desk with a paw on a keyboard  )\n",
      "display   disply   0.9230769230769231  ( a disply of fresh donuts on a picnic table )\n",
      "covered   overed   0.9230769230769231  ( a small couch overed with blankes and pinapple designed pillows  )\n",
      "blankets   blankes   0.9333333333333333  ( a small couch overed with blankes and pinapple designed pillows  )\n",
      "pineapple   pinapple   0.9411764705882353  ( a small couch overed with blankes and pinapple designed pillows  )\n",
      "siting   sititng   0.9230769230769231  ( a wooden table sititng under a big tree )\n",
      "table   tablwe   0.9090909090909091  ( this is a man with two computers on a tablwe )\n",
      "dressed   dessed   0.9230769230769231  ( a frisbee team dessed in black holding their freebee's    )\n",
      "background   backgound   0.9473684210526315  ( four young people on rolled skates in blue backgound )\n",
      "draped   drapped   0.9230769230769231  ( a man sitting on a couch with a tie drapped over his shoulder )\n",
      "bedspreads   bedspeads   0.9473684210526315  ( a hotel room with two large beds with colorful bedspeads on it  )\n",
      "mattress   matress   0.9333333333333333  ( two computers are on the matress of a small bed )\n",
      "passerby   passerbys   0.9411764705882353  ( the woman with the umbrella is looking at the passerbys )\n",
      "eclair   eclaire   0.9230769230769231  ( a half eaten eclaire on a white plate )\n",
      "snowboarders   snowboader   0.9090909090909091  ( a snowboader falling face first into the snow )\n",
      "technicians   technitians   0.9090909090909091  ( many hospital technitians gather as some work on equipment )\n",
      "screen   screeen   0.9230769230769231  ( a computer screeen is on while it is placed on top of a desk )\n",
      "slicing   slicking   0.9333333333333333  ( head of two giraffes with one slicking the bark on a tree )\n",
      "nunchuk   nunchuck   0.9333333333333333  ( a man playing wii with the remote and nunchuck attachment )\n",
      "passangers   passanger   0.9473684210526315  ( a passenger plane at the gate loading passanger )\n",
      "mouse   mouse3   0.9090909090909091  ( this is a cat and a mouse3 on a table )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a pizza with pepperonis mushrooms onions and peppers )\n",
      "refrigerator   refridgerator   0.96  ( a man is pointing to pictures posted on the refridgerator )\n",
      "\n",
      "\tCompleted 13000/39500\n",
      "\n",
      "mountainous   mountaineous   0.9565217391304348  ( mountaineous view as seen from a jet airliner )\n",
      "habitat   habiat   0.9230769230769231  ( two zebras walking away in a natural looking habiat )\n",
      "different   differnt   0.9411764705882353  ( a man in an apron around several differnt plates and bowls of food )\n",
      "tater   tatter   0.9090909090909091  ( a tatter street sign sits in the crosswalk )\n",
      "bulding   buliding   0.9333333333333333  ( a very large building that is reflecting off a buliding )\n",
      "controllers   controlers   0.9523809523809523  ( two people are standing holding video game controlers )\n",
      "cereal   ceral   0.9090909090909091  ( a girl reaches into a large bowl for ceral )\n",
      "possibly   (possibly   0.9411764705882353  ( pile of dirty old luggage on a city street (possibly an art installation) )\n",
      "installation   installation)   0.96  ( pile of dirty old luggage on a city street (possibly an art installation) )\n",
      "trucks   trucs   0.9090909090909091  ( there are several fire trucs that arer line up on a street )\n",
      "fling   fliyng   0.9090909090909091  ( a airplane fliyng near a mountain with its wheels out to land )\n",
      "skateboarder   skateborder   0.9565217391304348  ( a skateborder doing a trick on a railing  )\n",
      "walkin   walkint   0.9230769230769231  ( four people walkint down to a beach with two of them carrying surfboards )\n",
      "prosper   prosper'   0.9333333333333333  ( a young man making the vulcan sign for 'live long and prosper' )\n",
      "tennis   tenns   0.9090909090909091  ( a man with his arm up and getting ready to hit the tenns ball  )\n",
      "refrigerator   refridgerator   0.96  ( an old refridgerator standing next to a wall )\n",
      "attempting   attemping   0.9473684210526315  ( a man attemping a snowboard trick down a pipe )\n",
      "picture   apicture   0.9333333333333333  ( apicture of someone laying on the bed with only their feet exposed  )\n",
      "cheetos   cheeto's   0.9333333333333333  ( a plate of broccoli covered in cheeto's with a utensil on it )\n",
      "frisbee   fristbee   0.9333333333333333  ( a dog in a vest catching a fristbee )\n",
      "frisbee   frisbe   0.9230769230769231  ( a dig jumps in the air to catch a frisbe  )\n",
      "snuggling   snugging   0.9411764705882353  ( a couple snugging together on a wooden bench )\n",
      "refrigerator   refridgerator   0.96  ( an image of a cat inside a refridgerator )\n",
      "couple   coule   0.9090909090909091  ( a just married coule feed each other cake while a photographer takes photos )\n",
      "track   trackz   0.9090909090909091  ( a bunch of grates running along side the trackz )\n",
      "cardboard   carboard   0.9411764705882353  ( a little brown teddy bear sitting alone on top of a carboard box )\n",
      "different   diffrent   0.9411764705882353  ( four diffrent photos of objects and a cat  )\n",
      "lookin   lookind   0.9230769230769231  ( a very neat and orderly lookind one room studio apartment )\n",
      "standing   stading   0.9333333333333333  ( there are people stading on the street with skate board )\n",
      "cemetery   cementery   0.9411764705882353  ( a green fire hydrant on at a cementery )\n",
      "freeze   freez   0.9090909090909091  ( a man that has a freez be on the tip of finger )\n",
      "tennis   tennins   0.9230769230769231  ( a man playing tennins in a green shirt )\n",
      "surfboards   surfboarders   0.9090909090909091  ( surfboarders are riding waves in the ocean together )\n",
      "vases   avases   0.9090909090909091  ( very nice flowers of different colors in avases )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "blueberry   bluebery   0.9411764705882353  ( a bluebery cake is on a plate and is topped with butter )\n",
      "\n",
      "\tCompleted 14000/39500\n",
      "\n",
      "valentines   valentine's   0.9523809523809523  ( a cake is pictured that is a combined friday the 13th and valentine's day chocolate layer cake )\n",
      "serve   szerve   0.9090909090909091  ( the tennis player is attempting to return the szerve )\n",
      "restaurant   resturant   0.9473684210526315  ( two couples having pizza and soda at a small resturant )\n",
      "restaurant   resturant   0.9473684210526315  ( a picture of a table of food in a resturant )\n",
      "tennis   teennis   0.9230769230769231  ( a man is playing teennis on the court  )\n",
      "parked   parkeed   0.9230769230769231  ( a couple of boats parkeed near a boating dock  )\n",
      "people   peoople   0.9230769230769231  ( this is peoople cutting up a birthday cake )\n",
      "hamster   hampster   0.9333333333333333  ( a hampster sitting on a lap next to a brush )\n",
      "conversation   conversating   0.9166666666666666  ( a group of women eating at a dinner table and conversating )\n",
      "crullers   cruller   0.9333333333333333  ( two cruller donuts one half dipped in chocolate and the other in strawberry on a plate )\n",
      "stomach   stomache   0.9333333333333333  ( a woman laying on her stomach in a short skirt on her stomache )\n",
      "kitchen   kitche   0.9230769230769231  ( a bunch of food equipment set up in a cozy kitche )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train moves on the rails of the city )\n",
      "resting   resiting   0.9333333333333333  ( an elephant resiting on the grass in some field )\n",
      "buried   burried   0.9230769230769231  ( a television burried in the sand on a beach )\n",
      "kitchen   kithchen   0.9333333333333333  ( two cooks standing at the counter on a kithchen next to bottles )\n",
      "foliage   foliaged   0.9333333333333333  ( view from window across water with fall foliaged trees on other bank )\n",
      "doesnt   doesn't   0.9230769230769231  ( the glass shower enclosure doesn't leave anything to the imagination )\n",
      "bathtub   bathub   0.9230769230769231  ( there is some candles on a bathub in a bathroom )\n",
      "couple   coupkle   0.9230769230769231  ( a coupkle of signs on sign boards  )\n",
      "punch   pounch   0.9090909090909091  ( woman holding a cell phone covered with a crochet pounch )\n",
      "smiley   smily   0.9090909090909091  ( two kites one with a smily face fly high in the sunny sky )\n",
      "\n",
      "\tCompleted 15000/39500\n",
      "\n",
      "hissing   phissing   0.9333333333333333  ( cat phissing or yawning on a bathroom countertop )\n",
      "refrigerator   refridgerator   0.96  ( a white refridgerator sits on a kitchen stage set )\n",
      "peole   pepole   0.9090909090909091  ( pepole eating at a restaurannt meat and veggies )\n",
      "restaurant   restaurannt   0.9523809523809523  ( pepole eating at a restaurannt meat and veggies )\n",
      "covered   covred   0.9230769230769231  ( a parking meter covred in ice and snow  )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a grilled sandwhich with some fires and soup for lunch )\n",
      "peope   peopel   0.9090909090909091  ( some peopel riding a locomotive go very far )\n",
      "badminton   badminto   0.9411764705882353  ( children in a gym playing a game of badminto )\n",
      "silverware   silverwarde   0.9523809523809523  ( a fully cooked pizza with silverwarde sitting on the table beside it )\n",
      "refrigerator   refridgerator   0.96  ( a large refridgerator sitting on a wooden floor next to a trash can )\n",
      "construction   constructon   0.9565217391304348  ( the little girls has fun posing in the bathroom under constructon )\n",
      "kayaking   kyaking   0.9333333333333333  ( two people kyaking on a body of water  )\n",
      "seagull   segull   0.9230769230769231  ( segull sits on a floatation device looking at a boat on the water  )\n",
      "wrapped   wraped   0.9230769230769231  ( a pink stuffed bear and some wraped presents )\n",
      "kiteboarding   kitboarding   0.9565217391304348  ( a group of men kitboarding over the top of  a large body of water )\n",
      "panini   pannini   0.9230769230769231  ( half of a pannini sandwich and a side salad on a round white plate )\n",
      "filled   fiilled   0.9230769230769231  ( a bowl fiilled with a liquid with fruit slices )\n",
      "pitchers   pictchers   0.9411764705882353  ( picture of a vase of flowers surrounded by water pictchers )\n",
      "grabbing   grabbbing   0.9411764705882353  ( a hawk grabbbing hold of a fish by the ocean  )\n",
      "person   prson   0.9090909090909091  ( a prson has tongs and scissors to cut food at a table )\n",
      "surrounded   surrounde   0.9473684210526315  ( a man resting on a bench surrounde by shrubs and a tree )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a plate with a bowl of soup and a sandwhich on the plate )\n",
      "sandwich   sandich   0.9333333333333333  ( a dog begging for a sandich on plate )\n",
      "skillet   skilet   0.9230769230769231  ( broccoli and some other food in a skilet   )\n",
      "savannah   savanah   0.9333333333333333  ( two zebras walking together across a barren savanah )\n",
      "lookin   lookign   0.9230769230769231  ( a delicious lookign pizza has been cut and quarteered )\n",
      "quartered   quarteered   0.9473684210526315  ( a delicious lookign pizza has been cut and quarteered )\n",
      "doughnut   dougnut   0.9333333333333333  ( a dougnut sitting on a plate next to a glass of orange juice )\n",
      "looking   looing   0.9230769230769231  ( a person holding the toilet seat while looing inside )\n",
      "snacks   nacks   0.9090909090909091  ( a country charm type of kitchen is equipped with greenery and nick nacks )\n",
      "kitchen   kichen   0.9230769230769231  ( chefs and cooks are preparing meals in a restaurant kichen )\n",
      "candles   cadles   0.9230769230769231  ( a table with many cups of drinks and cadles )\n",
      "\n",
      "\tCompleted 16000/39500\n",
      "\n",
      "pastry   pastery   0.9230769230769231  ( an image of some sort of strawberry flaky pastery on display )\n",
      "piles   pilers   0.9090909090909091  ( a fish hooks pilers and a knife is on a board )\n",
      "graffiti   graffit   0.9333333333333333  ( a train car with some graffit all over the side of it  )\n",
      "striped   stiped   0.9230769230769231  ( a man in a stiped shirt is holding a hot dog  )\n",
      "surrounded   surroundsed   0.9523809523809523  ( a toilet seat surroundsed by different signs  )\n",
      "restaurant   resturant   0.9473684210526315  ( a resturant serves a variety of asian food )\n",
      "turquoise   turqoise   0.9411764705882353  ( a young man with a turqoise tie is smiling )\n",
      "vegetables   vegetabes   0.9473684210526315  ( a bunch of vegetabes in a woven little basket )\n",
      "livin   livign   0.9090909090909091  ( a livign area with music mixing equipment and a desk )\n",
      "sandwich   sandwhich   0.9411764705882353  ( somebody tore in half a sandwhich exposing the contents inside  )\n",
      "coffee   cofee   0.9090909090909091  ( a spoon on top of a  cofee cup )\n",
      "donuts   donutes   0.9230769230769231  ( two donutes and a cup of coffee are placed on a table )\n",
      "holding   hoding   0.9230769230769231  ( woman proudly hoding expired vegetables in bag of plastic )\n",
      "animal   anaimal   0.9230769230769231  ( a man is on a motorcycle with a anaimal in the street  )\n",
      "children   childre   0.9333333333333333  ( childre are eating food on plastic plates with a fork )\n",
      "freeze   freez   0.9090909090909091  ( a group of people throwing around a freez be )\n",
      "cupboard   cuboard   0.9333333333333333  ( an open cuboard of bowls and plates and other stuff )\n",
      "airport   airpot   0.9230769230769231  ( a group gathers around their luggage at an airpot )\n",
      "elderly   eldery   0.9230769230769231  ( two eldery people are wnjoying the view of a lake in this park )\n",
      "colorful   coloful   0.9333333333333333  ( some little coloful boats sitting in the water  )\n",
      "garnishment   garnishments   0.9565217391304348  ( a hot dog on a bun has several garnishments )\n",
      "mashed   mashd   0.9090909090909091  ( a piles of mashd taters turkey and carrots )\n",
      "doesnt   doesn't   0.9230769230769231  ( the apartment has some chairs but doesn't appear to be lived in )\n",
      "broccoli   brocoli   0.9333333333333333  ( a bowl full of brocoli sitting on a towel with a fork and spoon sitting next to it )\n",
      "elephants   eephants   0.9411764705882353  ( a large group of eephants wait in a african river )\n",
      "\n",
      "\tCompleted 17000/39500\n",
      "\n",
      "woman   awoman   0.9090909090909091  ( awoman is standing beside a stop sign in a museum )\n",
      "miniature   minature   0.9411764705882353  ( a man kneeling by a white minature horse  )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "zebra   zerbra   0.9090909090909091  ( a young zerbra nursing on its mother in a pasture )\n",
      "giraffe   giraffee   0.9333333333333333  ( a single giraffee standing in a dried field )\n",
      "person   peson   0.9090909090909091  ( a peson riding a bike down a long narrow road )\n",
      "rumpled   frumpled   0.9333333333333333  ( a frumpled bed sits in between two blue covered nightstands )\n",
      "eating   ehating   0.9230769230769231  ( a stove with the top unit with ehating elements removed  )\n",
      "colored   icolored   0.9333333333333333  ( a mmutl icolored kite being flown by a park )\n",
      "parasail   parasails   0.9411764705882353  ( a man parasails in the ocean on a nice day )\n",
      "child   achild   0.9090909090909091  ( a man and achild are standing in a field )\n",
      "coffee   coffe   0.9090909090909091  ( a room with a glass coffe table and a couch and chair )\n",
      "bench   brench   0.9090909090909091  ( a small bird is standing on a brench )\n",
      "freightliner   freightiliner   0.96  ( a brown freightiliner train parked on the tracks )\n",
      "skiing   skiin   0.9090909090909091  ( a man holding onto a some wires while skiin  )\n",
      "nunchuk   nunchuck   0.9333333333333333  ( a large person using a wii remote and nunchuck )\n",
      "giraffe   giaraffe   0.9333333333333333  ( a zebra and a giaraffe looking for food in an open area )\n",
      "music   mustic   0.9090909090909091  ( there is a pizza on a dish at mustic pizza  )\n",
      "shirt   tshirt   0.9090909090909091  ( a hand holding a cellphone and another person in a white tshirt )\n",
      "airplane   aiplane   0.9333333333333333  ( a commercial aiplane in flight against a cloudy sky )\n",
      "moving   movig   0.9090909090909091  ( a commuter train movig non bridge over water )\n",
      "traffic   traffice   0.9333333333333333  ( a traffice sign is shown with asian writing )\n",
      "bathtub   bathtube   0.9333333333333333  ( a black cat sitting in a white bathtube looking down )\n",
      "buildings   bildings   0.9411764705882353  ( a city street with multiple bildings and a street light )\n",
      "broccoli   broccolli   0.9411764705882353  ( a bowl of soup with potatoes carrots and broccolli and beans )\n",
      "doesnt   doesn't   0.9230769230769231  ( the jacket doesn't really need to match the luggage )\n",
      "holding   holdng   0.9230769230769231  ( there is a woman that is holdng a tennis racket  )\n",
      "\n",
      "\tCompleted 18000/39500\n",
      "\n",
      "cutting   cuting   0.9230769230769231  ( a man cuting a piece of cake while a person in costume stands behind him )\n",
      "amidst   amist   0.9090909090909091  ( a cake welcoming someone sitting amist dishes and breads on a table )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man gets ready to catch a frisbe at a park )\n",
      "making   makeing   0.9230769230769231  ( a heavy set woman makeing a sudden movement towards a ball in the back yard )\n",
      "singe   singke   0.9090909090909091  ( a singke vegetable and some herbs that are sitting on a cutting board  )\n",
      "hydrant   hyrdrant   0.9333333333333333  ( a little girl standing beside a dirty fire hyrdrant )\n",
      "hydrant   hyrdrant   0.9333333333333333  ( a little girl standing next to a yellow fire hyrdrant and touching it  )\n",
      "holing   holidng   0.9230769230769231  ( thre is a man that is holidng a skate board in hadn )\n",
      "ground   groud   0.9090909090909091  ( someone dressed in a snow suit on the groud  )\n",
      "luggage   lugggage   0.9333333333333333  ( a close up of a dog inside of an opened lugggage bag )\n",
      "fixed   afixed   0.9090909090909091  ( a very colorful room with models of cows afixed to the ceiling )\n",
      "group   grooup   0.9090909090909091  ( a grooup of people wearing tennis clothes stand around another player holding a bottle of water )\n",
      "breaking   breadking   0.9411764705882353  ( a person breadking a bottle with a baseball bat  )\n",
      "microsoft   miicrosoft   0.9473684210526315  ( miicrosoft  manufactures the latest electronic devices in the market  )\n",
      "skateboards   skateboads   0.9523809523809523  ( some guys standing on top of ramp with their skateboads  )\n",
      "signing   swigning   0.9333333333333333  ( an old photo of a person swigning something with trees in the background )\n",
      "passes   passses   0.9230769230769231  ( the dump truck passses through the mountain town in autumn )\n",
      "standing   standng   0.9333333333333333  ( a woman is standng with a helemt on her )\n",
      "refrigerator   refridgerator   0.96  ( a clean kitchen with a sink stove and refridgerator  )\n",
      "sleeves   sleves   0.9230769230769231  ( a varied collection of glass bottle containers on three sleves )\n",
      "refrigerator   refridgerator   0.96  ( a view of a refridgerator and door with a wooden floor in front )\n",
      "itself   itsef   0.9090909090909091  ( an elephant by itsef with two white tusks looking at  the camera )\n",
      "studying   studdying   0.9411764705882353  ( a man sitting at a picnic table studdying a bottle )\n",
      "giraffe   girafffe   0.9333333333333333  ( at the orphanage showing a girafffe and a zebra )\n",
      "ingredients   ingriedents   0.9090909090909091  ( a bagel with egg and other ingriedents on a plate  )\n",
      "countryside   countyside   0.9523809523809523  ( a diesel locomotive hauling some freight through the countyside )\n",
      "toppings   topings   0.9333333333333333  ( a sliced pizza in a box with different topings )\n",
      "holding   hoding   0.9230769230769231  ( the baby on the blanket at the park is hoding  a motorola phone )\n",
      "artisan   artisian   0.9333333333333333  ( a display of artisian pizza on a warming plate )\n",
      "\n",
      "\tCompleted 19000/39500\n",
      "\n",
      "court   ccourt   0.9090909090909091  ( a man on a clay tennis ccourt serving the ball )\n",
      "cheese   cheesey   0.9230769230769231  ( a plate of cheesey pizza on a blue plate )\n",
      "color   color)   0.9090909090909091  ( processed photograph to give historic look brown tone (not color) group gathering men in black tie woman in more formal dress )\n",
      "homemade   homemeade   0.9411764705882353  ( a tabletop is full of homemeade desserts and they look appetizing )\n",
      "umbrellas   umbreallas   0.9473684210526315  ( a group of colorful umbreallas blocking the sun )\n",
      "gladys   ladys   0.9090909090909091  ( a group of ladys around a small table )\n",
      "snowy   snowly   0.9090909090909091  ( a man going up a snowly incline pausing to smile at the camera )\n",
      "chair   chaird   0.9090909090909091  ( the boat includes several rows of orange chaird )\n",
      "sandwiches   sandwhiches   0.9523809523809523  ( two sandwhiches sitting on a plate with tooth picks in them )\n",
      "hairy   hairly   0.9090909090909091  ( a very big and hairly cat lying in the sun )\n",
      "refrigerator   regrigerator   0.9166666666666666  ( a male is looking in a empty regrigerator )\n",
      "refrigerator   refridgerator   0.96  ( a man is looking an an empty refridgerator )\n",
      "while   whilte   0.9090909090909091  ( a woman running whilte trying to hit  a tennis ball )\n",
      "skillet   skilet   0.9230769230769231  ( broccoli carrots and cauliflower being stir fried in a black skilet )\n",
      "saute   sauted   0.9090909090909091  ( broccoli cauliflower and carrots are sauted together in a wok )\n",
      "toilet   toiilet   0.9230769230769231  ( a bathroom with a toiilet sink and a shower )\n",
      "motorcycles   motorcyclis   0.9090909090909091  ( motorcyclis in red white and blue clothing with matching colored motorcycle )\n",
      "shepard   sherpard   0.9333333333333333  ( there is a german sherpard sitting on the floor with a stuffed bear )\n",
      "snacks   nacks   0.9090909090909091  ( a book shelf full of books and nick nacks  )\n",
      "sitting   sittiing   0.9333333333333333  ( a cat sitting on a car hood next to another cat sittiing on a scooter )\n",
      "fashioned   fasioned   0.9411764705882353  ( a woman in an old fasioned costume with a parasol )\n",
      "computer   computera   0.9411764705882353  ( a computera keyboard and a mouse and a bottle of wine on a table )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a half of a pizza with pepperonis next to a coffee cup )\n",
      "sandwich   sandwhich   0.9411764705882353  ( sandwhich with everything on it and a coke )\n",
      "jacket   acket   0.9090909090909091  ( a man swings his acket to hit a tennis ball )\n",
      "giraffe   giraffee   0.9333333333333333  ( a group of giraffee standing next to a tree behind a fence )\n",
      "doughnuts   dougnuts   0.9411764705882353  ( a group of chocolate dougnuts clustered together on a tray )\n",
      "freeze   freez   0.9090909090909091  ( a person that is jumping at a freez be )\n",
      "writing   writting   0.9333333333333333  ( a train with some writting on it is on some tracks )\n",
      "doughnuts   dougnuts   0.9411764705882353  ( a few dougnuts that are on a wired pan )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "portraits   potraits   0.9411764705882353  ( a clock in between animals potraits hanged in a wall )\n",
      "separate   sepaerate   0.9411764705882353  ( a bathroom with two sepaerate sinks cabinets  and mirrors )\n",
      "covers   coversa   0.9230769230769231  ( a bedroom with white bed coversa grey pillow and two lamps )\n",
      "numerous   numberous   0.9411764705882353  ( two vehicles parked on a street with numberous stop signs around )\n",
      "pepperoni   peppeoni   0.9411764705882353  ( a plate with cut slices of pizza and peppeoni )\n",
      "monitor   monior   0.9230769230769231  ( two laptops and a computer monior sit next to each other on a desk  )\n",
      "\n",
      "\tCompleted 20000/39500\n",
      "\n",
      "either   ither   0.9090909090909091  ( there are two zebras that are standing by each ither )\n",
      "background   bakground   0.9473684210526315  ( a clock on top of a building with a sky in the bakground )\n",
      "board   fboard   0.9090909090909091  ( a young man is holding a blue sur fboard )\n",
      "doesnt   doesn't   0.9230769230769231  ( he is so tall that his wet suit doesn't quite fit him )\n",
      "forest   frorest   0.9230769230769231  ( black and white image of a bench in a frorest )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train stopped on the railroad tracks )\n",
      "different   diffrent   0.9411764705882353  ( a table full of many diffrent house hold items )\n",
      "pepperoni   peperoni   0.9411764705882353  ( three sliced pieces of peperoni pizza with pizza slicer )\n",
      "bedroom   bedrroom   0.9333333333333333  ( on the bedrroom dresser is a vase with  a half dozen red roses  )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man jumps in the air as he catches a frisbe  )\n",
      "forrest   forresto   0.9333333333333333  ( a birthday cake with a topper that reads happy birthday forresto )\n",
      "cheetos   cheeto   0.9230769230769231  ( a child in a striped shirt eating a cheeto )\n",
      "hillside   hilllside   0.9411764705882353  ( a person jumping a snowboard on a snowy hilllside )\n",
      "arching   warching   0.9333333333333333  ( a bird us flying by a group if people warching )\n",
      "doesnt   doesn't   0.9230769230769231  ( it doesn't look like this horse finds much to eat in its bare pasture )\n",
      "shaped   shapped   0.9230769230769231  ( a mouse head shapped pizza sitting in a box )\n",
      "surfboard   surboard   0.9411764705882353  ( a kid on a surboard riding a little wave )\n",
      "vegetable   vegtable   0.9411764705882353  ( someone is cooking a vegtable stir fry for dinner )\n",
      "bulding   buliding   0.9333333333333333  ( a buliding that has a big red stop sign next to it )\n",
      "paper   papter   0.9090909090909091  ( a doughnut sits on white crinkled parchment papter )\n",
      "frisbee   frisbe   0.9230769230769231  ( a person with a frisbe near many trees  )\n",
      "eighteen   eightteen   0.9411764705882353  ( an eightteen wheeler rolls down the evergreen tree lined highway toward a snow capped mountain )\n",
      "possibly   (possibly   0.9411764705882353  ( truck hauling cargo (possibly logs) near snow capped mountain )\n",
      "drizzled   drizzed   0.9333333333333333  ( the foot long hotdog in the bun is drizzed with golden mustard )\n",
      "skateboard   skateboarded   0.9090909090909091  ( a skateboarded is going up a jump with their skateboard )\n",
      "couch   counch   0.9090909090909091  ( three young men together with two sitting on a counch and one standing in the middle of the room playing on wii video game equipment )\n",
      "buried   buriesd   0.9230769230769231  ( frisbee being buriesd in sand by many pairs of feet )\n",
      "frisbee   frisbe   0.9230769230769231  ( a bunch of peoples feet sit in front of frisbe  )\n",
      "while   whiile   0.9090909090909091  ( a person standing right next to an elephant whiile giving them a kiss  )\n",
      "reflection   refelection   0.9523809523809523  ( an airplane is flying high in the sky with the sun refelection )\n",
      "shaped   shapped   0.9230769230769231  ( a bathroom sink shapped like a glass bowl )\n",
      "hydrant   hydran   0.9230769230769231  ( a little red and blue fire hydran next to a sidewalk )\n",
      "blanket   blancket   0.9333333333333333  ( the guy is sleeping on his bed is cover by a gray blancket )\n",
      "underground   undergroud   0.9523809523809523  ( a red train is traveling undergroud on the tracks )\n",
      "traffic   traffice   0.9333333333333333  ( a street view of a traffice light houses and vehicles )\n",
      "motorcycle   motorcylcle   0.9523809523809523  ( a red motorcylcle parked outside a building on the sidewalk )\n",
      "chats   chaits   0.9090909090909091  ( two chaits an umrella and two people at abeach )\n",
      "umbrella   umrella   0.9333333333333333  ( two chaits an umrella and two people at abeach )\n",
      "beach   abeach   0.9090909090909091  ( two chaits an umrella and two people at abeach )\n",
      "\n",
      "\tCompleted 21000/39500\n",
      "\n",
      "skiers   skkiers   0.9230769230769231  ( a bunch of skkiers climb tot he top of a mountain )\n",
      "equipment   equpment   0.9411764705882353  ( a laptop computer sitting next to knitting equpment )\n",
      "ground   grounda   0.9230769230769231  ( many motorcycles are parked in the grounda middle aged person standing near a bike )\n",
      "shirt   tshirt   0.9090909090909091  ( a man wearing a white tshirt hits a tennis ball )\n",
      "longboards   longboarders   0.9090909090909091  ( two longboarders coasting crouched across a downhill road )\n",
      "italian   itallian   0.9333333333333333  ( four trays of itallian food are in large pans )\n",
      "inspiron   inspirion   0.9411764705882353  ( an inspirion laptop sitting on the top of a table which is wood )\n",
      "collar   colar   0.9090909090909091  ( a dog with a tie and shirt colar sitting in a bed )\n",
      "tribe   atribe   0.9090909090909091  ( atribe of people ride some elephants out side )\n",
      "landing   landng   0.9230769230769231  ( an air plane is landng amongst the clouds  )\n",
      "racket   rackett   0.9230769230769231  ( a person waling through a field of strawberries carrying a tennis rackett )\n",
      "passangers   passanger   0.9473684210526315  ( an single passanger in an airplane flying through the sky )\n",
      "person   aperson   0.9230769230769231  ( there is aperson holding a skate board at sun set  )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a young man holding a sandwhich up to his mouth )\n",
      "partially   partially7   0.9473684210526315  ( various slices of leftover homemade pizzas sit on the stove with a partially7 drank glass of red wine  )\n",
      "swinging   swining   0.9333333333333333  ( a tennis player swining a racket at a ball )\n",
      "person   perso   0.9090909090909091  ( a perso holding a small burger with an open laptop on a table )\n",
      "prepares   prepaeres   0.9411764705882353  ( for a celebration this family prepaeres tons of food on the grill )\n",
      "living   lving   0.9090909090909091  ( no body has been in the lving room or dining room since it has been cleaned )\n",
      "bouquet   bouquest   0.9333333333333333  ( a bouquest of flowers in a white vase near a mirror )\n",
      "buried   burried   0.9230769230769231  ( a bowl a quacomale with a wooden spoon burried down into it )\n",
      "foliage   folliage   0.9333333333333333  ( a bird on a limb surrounded by folliage )\n",
      "diced   dicked   0.9090909090909091  ( a white plate topped with dicked up lettuce next to carrots )\n",
      "womans   woman*s   0.9230769230769231  ( the cat is looking at the woman*s reflection in the mirror )\n",
      "brussel   brussell   0.9333333333333333  ( brussell sprouts and broccoli that are on tin foil )\n",
      "sailboard   sailboards   0.9473684210526315  ( there are many sailboards and rafts at the beach )\n",
      "broccoli   broccolli   0.9411764705882353  ( potatoes broccolli steak and some sort of other meat )\n",
      "somebody   somebodys   0.9411764705882353  ( a little dog sleeping on somebodys shoes  )\n",
      "meter   meater   0.9090909090909091  ( a parking meater on a street corner next to cars )\n",
      "hydrant   hydran   0.9230769230769231  ( a red and white fire hydran out on a road )\n",
      "tennis   tennise   0.9230769230769231  ( a woman tennise player standing at the service line and throwing a tennis ball up in the air to serve it )\n",
      "pineapples   pineaples   0.9473684210526315  ( chicken and waffles are on a plate next to pineaples )\n",
      "street   streeet   0.9230769230769231  ( this is a streeet sign at an intersection )\n",
      "skateboard   skaeboard   0.9473684210526315  ( a man doing a trick on a skaeboard )\n",
      "\n",
      "\tCompleted 22000/39500\n",
      "\n",
      "sidewalk   sidwalk   0.9333333333333333  ( people riding bikes in a street next to a sidwalk )\n",
      "black   bloack   0.9090909090909091  ( a bloack and white photo of a car lined street )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "valentines   valentine's   0.9523809523809523  ( i man is holding up a toothbrush with a valentine's day note attached to it )\n",
      "motorcyle   motorcylce   0.9473684210526315  ( an old model green motorcylce sits on the ground )\n",
      "buildings   buidings   0.9411764705882353  ( i love the way the sun is creeping behind those two buidings )\n",
      "desert   deseart   0.9230769230769231  ( a beautiful deseart  platter of cheesecake and strawberries )\n",
      "controllers   controlers   0.9523809523809523  ( a cocker spaniel puppy laying on top of controlers )\n",
      "street   sreet   0.9090909090909091  ( a truck with graffiti written on it on a city sreet  )\n",
      "standing   standng   0.9333333333333333  ( there are two men that are standng by each other  )\n",
      "multicolored   multitcolored   0.96  ( a small yellow bathroom with two multitcolored towels )\n",
      "bathroom   bathtroom   0.9411764705882353  ( there is a white toilet in the bathtroom with the tall silver pole  )\n",
      "bicycles   bicyclers   0.9411764705882353  ( a city street with bicyclers and a man riding a elephant )\n",
      "tennis   tennnis   0.9230769230769231  ( a man prepares to serve the ball during a tennnis game )\n",
      "doesnt   doesn't   0.9230769230769231  ( a man extends a banana to a man who doesn't want to take it )\n",
      "freeway   freeeway   0.9333333333333333  ( an image of a city freeeway with the blue skies and clouds ahead )\n",
      "sandwiches   sandwhiches   0.9523809523809523  ( three sandwhiches with toppings on them and a cucumber )\n",
      "walking   wallking   0.9333333333333333  ( a man wallking down a sidewalk and smiling at the camera )\n",
      "doesnt   doesn't   0.9230769230769231  ( an umpire catches a ball that the batter doesn't hit  )\n",
      "potties   pottie   0.9230769230769231  ( a person standing in front of a porta pottie toilet )\n",
      "leading   leanding   0.9333333333333333  ( a man leanding over to touch the ground while riding his skateboard )\n",
      "properly   propperly   0.9411764705882353  ( a tie on a mans shirt tied propperly )\n",
      "baseball   baskeball   0.9411764705882353  ( baskeball players on the court dressed in orange or white  )\n",
      "hydrogen   hydrgen   0.9333333333333333  ( a fire hydrgen that is next to a street )\n",
      "drying   dryin   0.9090909090909091  ( a kitchen counter with dishes dryin g on the stove )\n",
      "while   whiile   0.9090909090909091  ( a woman sitting on a back of a truck whiile holding a sign  )\n",
      "pitbull   pittbull   0.9333333333333333  ( a toy pittbull dog and its reflection in a mirror )\n",
      "people   peopl   0.9090909090909091  ( a group of peopl standing arond on the beach wearing wetsuits  )\n",
      "around   arond   0.9090909090909091  ( a group of peopl standing arond on the beach wearing wetsuits  )\n",
      "silverware   silverwares   0.9523809523809523  ( some type of fancy silverwares handle with a white background )\n",
      "\n",
      "\tCompleted 23000/39500\n",
      "\n",
      "people   peoople   0.9230769230769231  ( a group of peoople sitting in lawn chairs watching children run down a grassy field )\n",
      "1960s   1960's   0.9090909090909091  ( a group photo from the 1960's of teenagers in suits and dresses )\n",
      "waterboard   waterboards   0.9523809523809523  ( people in air on waterboards over water with banner )\n",
      "motorcycle   motorcyclers   0.9090909090909091  ( a group of motorcyclers wait underneath an awning for the rain to stop )\n",
      "frisbee   frisbe   0.9230769230769231  ( a child catches a frisbe on the grass )\n",
      "toilets   toiletes   0.9333333333333333  ( a metal trash cans standing between two toiletes  )\n",
      "controllers   comtrollers   0.9090909090909091  ( a close up of a nintendo wii console next to cables and comtrollers )\n",
      "wiimote   wiimotes   0.9333333333333333  ( three men holding wiimotes at a trade show )\n",
      "attempting   attemping   0.9473684210526315  ( a man attemping to tie his tie  )\n",
      "kickstand   kickstands   0.9473684210526315  ( a line up of motorcycles sitting on their kickstands )\n",
      "artistic   artisitic   0.9411764705882353  ( an artisitic shot of two expired parking meteres )\n",
      "meters   meteres   0.9230769230769231  ( an artisitic shot of two expired parking meteres )\n",
      "person   peson   0.9090909090909091  ( a peson on a snowboard moving through snowy field )\n",
      "professional   proffessional   0.96  ( a proffessional baseball player up to bat with a crowd behind him )\n",
      "frisbee   frisbe   0.9230769230769231  ( a group of men play frisbe in a park area  )\n",
      "butterfly   butterflys   0.9473684210526315  ( a couple of butterflys sitting next to ripe bananas )\n",
      "toned   tonged   0.9090909090909091  ( a tiny square of cake beside a two tonged fork )\n",
      "wings   wingsl   0.9090909090909091  ( a bird perched on top of a tree branch with large wingsl )\n",
      "graffitied   graffiti'ed   0.9523809523809523  ( graffiti'ed yellow box truck sits on the lawn )\n",
      "playin   playign   0.9230769230769231  ( a man playign sports in the middle of a stadium )\n",
      "broccoli   broccoliw   0.9411764705882353  ( a small plate of food with broccoliw and nuts )\n",
      "sandwich   sandwhich   0.9411764705882353  ( an image of a sandwhich that is not eaten )\n",
      "hygiene   hygene   0.9230769230769231  ( a bathroom with hygene products and a place to put necklaces )\n",
      "siting   siiting   0.9230769230769231  ( a jumbo jet airplane siiting next to a scissor lift machine )\n",
      "eating   eatting   0.9230769230769231  ( some giraffes eatting some grass from some cages )\n",
      "kitchen   kithen   0.9230769230769231  (  a black cat looking in a kithen cabinet )\n",
      "instruments   insturments   0.9090909090909091  ( there is a man that is playing musical insturments  )\n",
      "shirtless   shitless   0.9411764705882353  ( a shitless man posing for a photo while holding a surfboard )\n",
      "airplane   airplan   0.9333333333333333  ( this airplan is flying on a clear day )\n",
      "surfing   suring   0.9230769230769231  ( a person doing a trick with suring a wave  )\n",
      "probably   (probably   0.9411764705882353  ( a child is standing on a deck holding up a handle (probably an umbrella) above their head )\n",
      "inquisitive   inquisitively   0.9166666666666666  ( a cat looking inquisitively over the top of a car seat )\n",
      "hospital   hosipital   0.9411764705882353  ( beds in an old hosipital and barred windows )\n",
      "leading   leaing   0.9230769230769231  ( a young man leaing a cow down a rural country road )\n",
      "\n",
      "\tCompleted 24000/39500\n",
      "\n",
      "frisbee   frissbee   0.9333333333333333  ( a man standing outside of his apartment throwing a frissbee  )\n",
      "comforter   compforter   0.9473684210526315  ( a twin bed with a purple compforter and blue walls )\n",
      "keyboard   keybord   0.9333333333333333  ( the little boy is having fun playing at the computer keybord )\n",
      "tussle   trussle   0.9230769230769231  ( a train traveling a trussle over a river )\n",
      "butterfly   butterflys   0.9473684210526315  ( four different sized vases decorated with various sized butterflys )\n",
      "woman   womman   0.9090909090909091  ( a womman sitting on railroad tracks with a suitcase beside her )\n",
      "tattoos   tatttoos   0.9333333333333333  ( a woman wearing a skirt shows off her tatttoos )\n",
      "colander   collander   0.9411764705882353  ( pots pans and a collander displayed on a kitchen cart )\n",
      "elephant   eephant   0.9333333333333333  ( an eephant walsk across a running river  )\n",
      "brush   brushe   0.9090909090909091  ( a few tooth brushe son a table top )\n",
      "bulding   buliding   0.9333333333333333  ( some kind of bus parked by a buliding )\n",
      "phones   pones   0.9090909090909091  ( a couple of pones that are next to each other )\n",
      "little   llittle   0.9230769230769231  ( a llittle boy in a sweater is throwing a frisbee )\n",
      "picks   pickes   0.9090909090909091  ( there are two sandwiches next to eachother with tooth pickes in them  )\n",
      "table   tablea   0.9090909090909091  ( a hotel room with a well made bed tablea and two chairs )\n",
      "broccoli   broccolli   0.9411764705882353  ( a bowl filled with vegetables including broccolli and lima beans )\n",
      "enjoying   ejoying   0.9333333333333333  ( a group of friends are ejoying slices of pizza )\n",
      "walking   walkig   0.9230769230769231  ( a diagonal view of someone walkig along a wet street )\n",
      "background   backgroundis   0.9090909090909091  ( the stop sign with an apartment building in the backgroundis shot from below )\n",
      "intersection   intersecection   0.9230769230769231  ( a traffic light at an intersecection without a lot of traffic )\n",
      "eating   eatting   0.9230769230769231  ( some people are sitting around a table eatting )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "motorcycle   motorcyclers   0.9090909090909091  ( two speed motorcyclers turning a corner very sharply )\n",
      "wrapped   wraped   0.9230769230769231  ( a bacon wraped hotdog with onion on it )\n",
      "people   pepople   0.9230769230769231  ( there are pepople that are playing in the field  )\n",
      "shirt   tshirt   0.9090909090909091  ( a child in a green tshirt is playing a wii game )\n",
      "project   prohject   0.9333333333333333  ( the man is working on a important prohject )\n",
      "\n",
      "\tCompleted 25000/39500\n",
      "\n",
      "living   lving   0.9090909090909091  ( a tv set is in the lving room with a fire place )\n",
      "refrigerator   refridgerator   0.96  ( a refridgerator with popular gaming characters on it )\n",
      "competitor   competior   0.9473684210526315  ( competior preparing to return volley during tennis match )\n",
      "laptop   lapto   0.9090909090909091  ( this is a lapto sitting on a white bed )\n",
      "couch   courch   0.9090909090909091  ( a very black dog lying on a courch )\n",
      "strafe   strafze   0.9230769230769231  ( a street sign that reads  greta garbo strafze  )\n",
      "asphalt   asphault   0.9333333333333333  ( a nice touring motorcycle is parked on asphault )\n",
      "shirt   tshirt   0.9090909090909091  ( man in tshirt and tie with cellphone in bathroom taking picture )\n",
      "motorcyclists   motocyclists   0.96  ( group of motocyclists during ride on mountainous road with rock archway )\n",
      "lying   lfying   0.9090909090909091  ( people in a field lfying many kites flying in the sky )\n",
      "standing   standng   0.9333333333333333  ( there are a lot of people standng in the plaza )\n",
      "packers   packes   0.9230769230769231  ( a small dog is packes into a duffel bag )\n",
      "fighter   figher   0.9230769230769231  ( a figher jet plane flying on its side through the air )\n",
      "sting   stiing   0.9090909090909091  ( a person is stiing on a couch watching tv )\n",
      "elizabeth   elizbeth   0.9411764705882353  ( pictures of queen elizbeth the second riding a horse )\n",
      "paddleboard   paddleboarder   0.9166666666666666  ( a paddleboarder is rowing while another person lies on their board nearby )\n",
      "doughnuts   dougnuts   0.9411764705882353  ( a young boy standing in front of a counter with dougnuts  )\n",
      "eating   [eating   0.9230769230769231  ( vandalized stop sign with a sticker reminding people to stop [eating animals] )\n",
      "animals   animals]   0.9333333333333333  ( vandalized stop sign with a sticker reminding people to stop [eating animals] )\n",
      "bulding   buliding   0.9333333333333333  ( a old fire hydrogen that is next to a torn down buliding )\n",
      "above   ablove   0.9090909090909091  ( many trains on train tracks with power lines ablove )\n",
      "tomatoes   tomatoe   0.9333333333333333  ( a plate of polents a tomatoe and brocolli )\n",
      "graffiti   graffit   0.9333333333333333  ( some street signs with graffit on them  )\n",
      "unidentifiable   unidentifialbe   0.9285714285714286  ( a food item covered with unidentifialbe products on top of it )\n",
      "\n",
      "\tCompleted 26000/39500\n",
      "\n",
      "cupboards   cupbords   0.9411764705882353  ( a kitchen with a stove a refrigerator and some cupbords )\n",
      "umbrellas   umberellas   0.9473684210526315  ( a photo of beach scene with people under umberellas in the water and on a boat )\n",
      "trading   traing   0.9230769230769231  ( this is a traing riding through a city )\n",
      "frisbee   frisbe   0.9230769230769231  ( a dog leaps through the air as it catches a frisbe  )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train stopped on the railroad tracks )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train stopped on the railroad tracks at a station )\n",
      "frisbee   frisebee   0.9333333333333333  ( a frisebee players playing and the man in yellow ready to throw it )\n",
      "parking   aparking   0.9333333333333333  ( a person is parking his car into aparking space where he will have to pay a parking meter )\n",
      "livin   livign   0.9090909090909091  ( a livign area with a sofa chairs and a coffee table )\n",
      "cardboard   cardboaard   0.9473684210526315  ( a truck with some cardboaard boxes in the back )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man gets ready to catch a frisbe  )\n",
      "kitchen   kichen   0.9230769230769231  ( a kichen with wooden cabinets and a white range )\n",
      "sitting   ssitting   0.9333333333333333  ( a man and two women ssitting in a small fire truck )\n",
      "refrigerator   refigerator   0.9565217391304348  ( a woman is standing in a kitchen by a refigerator )\n",
      "airport   airporta   0.9333333333333333  ( an aeroplane in the airporta person is sitting on its wing doing some repair )\n",
      "peope   peopel   0.9090909090909091  ( a bunch of peopel gether at a large gate )\n",
      "umbrella   umbella   0.9333333333333333  ( a chair sitting outdoors with a blue umbella  )\n",
      "picture   pictcure   0.9333333333333333  ( a man taking a pictcure of some people in jail )\n",
      "snowy   snowwy   0.9090909090909091  ( a guy skiing down a snowwy maintain slope )\n",
      "peeled   peeld   0.9090909090909091  ( a opened peeld banana half way eatened  )\n",
      "unwrapping   unwraping   0.9473684210526315  ( a guy unwraping a big screen tv in his living room )\n",
      "water   wwater   0.9090909090909091  ( two zebra drinking wwater while a third one looks somewhere else )\n",
      "barbeque   barbequed   0.9411764705882353  ( a meal of mashed potatoes cheesy broccoli and barbequed ribs  )\n",
      "warehouse   wharehouse   0.9473684210526315  ( an orange fire truck parked in a wharehouse )\n",
      "baseball   basebal   0.9333333333333333  ( a man that is standing on a basebal lfield )\n",
      "field   lfield   0.9090909090909091  ( a man that is standing on a basebal lfield )\n",
      "cheese   cheesey   0.9230769230769231  ( the cheesey pizza has a lot of olives on it )\n",
      "broccoli   brocoli   0.9333333333333333  ( a juicy plate stir fry food with brocoli )\n",
      "either   ither   0.9090909090909091  ( a small herd of buffalo resting on the ither side of the stream )\n",
      "walking   wallking   0.9333333333333333  ( two trains parked side by side in a train station with people wallking bye )\n",
      "television   televisiona   0.9523809523809523  ( a small roomw ith a televisiona nd some furniture in it  )\n",
      "frisbee   fribee   0.9230769230769231  ( two teenagers playing in a grassy field while a fribee flies their way )\n",
      "clock   aclock   0.9090909090909091  ( two double stacker tour buses parked in front of a building with aclock built into the side of it )\n",
      "memorabilia   memorbilia   0.9523809523809523  ( a glass enclosure with a variety of vintage baseball memorbilia )\n",
      "landscaped   landscapred   0.9523809523809523  ( there is a fire station with a nicely landscapred lawn area )\n",
      "\n",
      "\tCompleted 27000/39500\n",
      "\n",
      "fashioned   fasioned   0.9411764705882353  ( an old fasioned locomotive arriving at a train station )\n",
      "stilt   stiltz   0.9090909090909091  ( a man on stiltz is standing under a pink umbrella  )\n",
      "doesnt   doesn't   0.9230769230769231  ( this bathroom is so filthy it probably doesn't work anymore )\n",
      "snowboarder   sbowboarder   0.9090909090909091  ( a man wearing a mask with a sbowboarder )\n",
      "someone   someon   0.9230769230769231  (  boy is looking at soetihni or someon at the park with shades on  )\n",
      "outside   outsid   0.9230769230769231  ( a lady that is on her cell phone outsid )\n",
      "baseball   basebal   0.9333333333333333  ( a batter swings to hit the basebal in the field  )\n",
      "doughnuts   dougnuts   0.9411764705882353  ( a group of small shicldren drinking coffee and eating dougnuts )\n",
      "streetlamps   streetlamp   0.9523809523809523  ( a close up of the streetlamp showing to red street signs )\n",
      "bananas   banannas   0.9333333333333333  ( an older man is selling banannas outside in the parking lot )\n",
      "stuck   stucks   0.9090909090909091  ( some construction stucks pared on the side of the road )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a man holding a sign with an arrow and mcdonald's symbol on it  )\n",
      "motor   mortor   0.9090909090909091  ( a mortor cycle parked next to some regular bikes )\n",
      "umbrellas   umberellas   0.9473684210526315  ( the people has there umberellas up for the rain )\n",
      "electronic   electonic   0.9473684210526315  ( a table is voered with electonic equipment  )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a pan pizza with pepperonis and a spatula )\n",
      "peope   peopke   0.9090909090909091  ( a line of peopke riding horses along a dirt trail )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man is having a good time playing frisbe )\n",
      "strawberry   stawberry   0.9473684210526315  ( a slice of stawberry birthday cake on a paper plate  )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sandwich   sandwhich   0.9411764705882353  ( a sandwhich sitting on a plate next to a glass of tea bowl of soup )\n",
      "siting   siiting   0.9230769230769231  ( birds siiting on a boat that is in the water )\n",
      "growing   growings   0.9333333333333333  ( an adult driving a speed boat in the water near some rock growings )\n",
      "motorcycle   motorcyce   0.9473684210526315  ( a cross country motorcyce on a dirt road )\n",
      "shirts   tshirts   0.9230769230769231  ( some teddy bears wearing tshirts sitting together  )\n",
      "closed   eclosed   0.9230769230769231  ( a zebra under a tree in an eclosed area in a zoo )\n",
      "motorcycle   (motorcycle)   0.9090909090909091  ( a dirt bike (motorcycle) parked behind a white van on the grass )\n",
      "hangar   hangara   0.9230769230769231  ( inside a airplane hangara stealth plane hanging  up )\n",
      "\n",
      "\tCompleted 28000/39500\n",
      "\n",
      "directions   directons   0.9473684210526315  ( two giraffes standing beside each other but in opposite directons  )\n",
      "motorcyle   motorcylce   0.9473684210526315  ( a woman wearing a motorcycle helmet sitting on a motorcylce )\n",
      "match   amatch   0.9090909090909091  ( a man is jumping to hit the tennis ball at a amatch )\n",
      "person   erson   0.9090909090909091  ( a erson on motorcycle in middle of street next to traffic light )\n",
      "umbrellas   umbellas   0.9411764705882353  ( a bunch of umbellas sitting on a beach during the day )\n",
      "tennis   tennish   0.9230769230769231  ( a man is holding a tennish racquet while he competes )\n",
      "racket   rackett   0.9230769230769231  ( a man standing on one leg holding a tennis rackett )\n",
      "assorted   assorte   0.9333333333333333  ( people walking around and looking at assorte motorcycles  )\n",
      "casserole   caserole   0.9411764705882353  ( a caserole dish filled with sandwiches and cucumber slices )\n",
      "chiquita   chiquitta   0.9411764705882353  ( the cover and back of a chiquitta banana cookbook )\n",
      "bulding   buliding   0.9333333333333333  ( a horse that is standing outside of a buliding )\n",
      "enjoying   enjoyinga   0.9411764705882353  (  a park where people in groups are enjoyinga boy is balancing on a board and playing on an air filled matress )\n",
      "chairs   chirs   0.9090909090909091  ( there is a small tv between two chirs )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a pizza with pepperonis mushrooms tomatoes and other various toppings )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train pulled to a stop on the tracks at a train station )\n",
      "garni   garnie   0.9090909090909091  ( a blue road sign for garnie gueghard with a city in the background  )\n",
      "bathroom   barthroom   0.9411764705882353  ( a barthroom with green walls and a  purple rug  )\n",
      "chocolate   choclate   0.9411764705882353  ( choclate cake on a plate with strawberries as a garnish )\n",
      "shower   shoer   0.9090909090909091  ( a nice toilet site right beside the shoer in a bathroom )\n",
      "skateboard   skatboard   0.9473684210526315  ( a kid in jeans doing a skatboard trick down steps )\n",
      "eating   teating   0.9230769230769231  ( a ca teating green stuff off the floor )\n",
      "giraffes   giraffs   0.9333333333333333  ( three giraffs looking at something over the fence )\n",
      "giraffes   giiraffes   0.9411764705882353  ( two giiraffes standing and one sitting in a field )\n",
      "while   whiile   0.9090909090909091  ( a woman looking a mirror whiile brushing her teeth  )\n",
      "radishes   raddishes   0.9411764705882353  ( a person holds a woven basket with raddishes and brocolli )\n",
      "regarding   reagarding   0.9473684210526315  ( a note written on a banana reagarding a story )\n",
      "propeller   propelleor   0.9473684210526315  ( the single propelleor airplane slowly takes off from the airport )\n",
      "different   diffrent   0.9411764705882353  ( a bus all lite up inside and out with diffrent colors   )\n",
      "standing   standinga   0.9411764705882353  ( two giraffes are standinga lady is sitting on one giraffe )\n",
      "racket   rackett   0.9230769230769231  ( a female holding a rackett above her head on a tennis court )\n",
      "vegetables   vegetales   0.9473684210526315  ( broccoli onions radishes and other vegetales in a display )\n",
      "special   pecial   0.9230769230769231  ( yellow orange pecial purpose train engine with american flag painted in the side )\n",
      "keyboard   keyoard   0.9333333333333333  ( a colorful cat is next to a keyoard )\n",
      "frisbee   frisbe   0.9230769230769231  ( a group of people play a game of frisbe  )\n",
      "cheese   chees   0.9090909090909091  ( a chees pizza sitting on it's baking sheet )\n",
      "\n",
      "\tCompleted 29000/39500\n",
      "\n",
      "alameda   'alameda   0.9333333333333333  ( a street sign reading 'alameda street is shown with a skyscraper in the background )\n",
      "boardwalk   boarwalk   0.9411764705882353  ( three people seated on a bench located on a boarwalk )\n",
      "sandwiches   sandwhiches   0.9523809523809523  ( a plate of sandwhiches sitting on a table next to a cup of coffee )\n",
      "umbrella   umbrealla   0.9411764705882353  ( a person walking through a street holding bags and umbrealla )\n",
      "restaurant   resturant   0.9473684210526315  ( a large sign that says cave next to a sign that says resturant and lounge )\n",
      "orange   ourange   0.9230769230769231  ( two girls play wii in a room with ourange rugs and white sofas )\n",
      "flowing   floweing   0.9333333333333333  ( beautiful pink floweing tree spread over park bench landscaping and striped garden shed  )\n",
      "standing   standng   0.9333333333333333  ( a girafee is standng in the den at the zoo  )\n",
      "assorted   assored   0.9333333333333333  ( different photos of assored orange and blue items )\n",
      "competition   competititon   0.9565217391304348  ( the skiers are in close competititon moving downhill )\n",
      "vegetables   vegtables   0.9473684210526315  ( white plate with meat and vegtables on tabletop )\n",
      "vegetables   vegtables   0.9473684210526315  ( a pasta dish with colorful vegtables on white plate )\n",
      "attracted   attacted   0.9411764705882353  ( a line of parked bikes with bananas attacted to them )\n",
      "pushes   plushes   0.9230769230769231  ( a rack of hanging teddy bear keychain plushes in a store )\n",
      "frisbee   frisbe   0.9230769230769231  ( a dog lays on some grass with a frisbe in its paws  )\n",
      "steeple   steple   0.9230769230769231  ( a man is on a bench in front of a steple tower )\n",
      "looking   ooking   0.9230769230769231  ( a nice ooking smart phon with a sticker on it )\n",
      "background   backlground   0.9523809523809523  ( a large tower with a clock with a sky backlground )\n",
      "restaurant   restarant   0.9473684210526315  ( group of people in a restarant with a large pizza )\n",
      "descend   decend   0.9230769230769231  ( a group of skiers decend a snowy mountain hill )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger bus passing under a stoplight at dusk )\n",
      "dishwasher   diswasher   0.9473684210526315  ( a kitchen with an oven stove diswasher sink and window next to an open door )\n",
      "elephant   elphant   0.9333333333333333  ( a mam elphant and its baby elphant drinking water from a pond )\n",
      "elephant   elphant   0.9333333333333333  ( a mam elphant and its baby elphant drinking water from a pond )\n",
      "spitting   spiting   0.9333333333333333  ( a person that is spiting something up in a toilet )\n",
      "shepherd   sheepherd   0.9411764705882353  ( the nomadic sheepherd walks behind a large group of livestock in their desert habitat )\n",
      "screen   sreen   0.9090909090909091  ( a phone with lines running on the sreen )\n",
      "rackets   racketts   0.9333333333333333  ( some people standing on a tennis court holding tennis racketts )\n",
      "\n",
      "\tCompleted 30000/39500\n",
      "\n",
      "ollie   ollies   0.9090909090909091  ( a boy ollies his skateboard at an outdoor skate park )\n",
      "standing   staniding   0.9411764705882353  ( a woman staniding on the shore holding two umbrellas )\n",
      "playing   playinng   0.9333333333333333  ( a girl playinng a video game as another man and woman look on )\n",
      "waterskiing   watersking   0.9523809523809523  ( person in shadow watersking in large body of water )\n",
      "together   togeher   0.9333333333333333  ( three dogs walking togeher outside of a fence )\n",
      "frisbee   frisbe   0.9230769230769231  ( two men on a sandy beach playing with a frisbe  )\n",
      "corner   coner   0.9090909090909091  ( there is a toilet in the coner iwth wall paper )\n",
      "sidewalk   sidwalk   0.9333333333333333  ( a women that is walking down a sidwalk )\n",
      "laughing   lauging   0.9333333333333333  ( a man is lauging playing the wii game )\n",
      "standing   standingg   0.9411764705882353  ( people laying and standingg on beach while many kites fly )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "crullers   cruller   0.9333333333333333  ( the cruller is on the  paper served  with dunkin donut coffee )\n",
      "floating   floting   0.9333333333333333  ( the boats are floting on top of the water )\n",
      "motorcycles   motorcylces   0.9090909090909091  ( an image of a group of policeman on motorcylces )\n",
      "coffee   coffe   0.9090909090909091  ( coffe cups a cell phone a fork and a meal are scattered about the table )\n",
      "clydesdale   clydsdale   0.9473684210526315  ( two clydsdale horses being trained by a man and a woman )\n",
      "miniature   miniture   0.9411764705882353  ( a miniture train hauling a group of people on a ride )\n",
      "counting   countring   0.9411764705882353  ( a man cross countring sking on a set of trails )\n",
      "bordered   boardered   0.9411764705882353  ( person in a grassy green field boardered by mountains )\n",
      "computer   compuiter   0.9411764705882353  ( the worker is looking for information on the compuiter )\n",
      "holding   holdinga   0.9333333333333333  ( a man is holdinga baseball bat by a chain fence )\n",
      "chives   chies   0.9090909090909091  ( chicken with chies and red peppers rice carrots and broccoli )\n",
      "traffic   traffice   0.9333333333333333  ( a street post with a traffice light stop sign and street signs )\n",
      "christmas   chistmas   0.9411764705882353  ( a donut being used as an ornament for a chistmas tree  )\n",
      "amtrak   amtrack   0.9230769230769231  ( an amtrack train is on the railroad tracks )\n",
      "bananas   bannas   0.9230769230769231  ( a batch of bannas is siting next to a jar )\n",
      "bottle   botttle   0.9230769230769231  ( bananas on a counter next to cumin seed botttle )\n",
      "lookin   lookign   0.9230769230769231  ( a cool lookign mirror on a street side curb  )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train stopped to pick up passangers at a station )\n",
      "balloons   baloons   0.9333333333333333  ( a decorated building with baloons and picture frames on the wall )\n",
      "bunkbeds   bunkbed   0.9333333333333333  ( a young girl sits in the bottom bunk of her bunkbed )\n",
      "\n",
      "\tCompleted 31000/39500\n",
      "\n",
      "clock   oclock   0.9090909090909091  ( a building displaying a clock showing the time to be 6 oclock )\n",
      "things   thigs   0.9090909090909091  ( a couple of thigs are sitting on a wood table )\n",
      "sting   stiing   0.9090909090909091  ( there is a bear that is stiing on the ground  )\n",
      "bowlful   bowlfuls   0.9333333333333333  ( a fancy sunny kitchen with bowlfuls of watermelon slices on the counters )\n",
      "skateboard   skatboard   0.9473684210526315  ( a man on a skatboard jumping a traffic cone )\n",
      "desktop   destop   0.9230769230769231  ( computer desk with destop and open mac laptop )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a sausage sandwhich on a white plate with vegetables )\n",
      "flying   flyng   0.9090909090909091  ( a man flyng a kite with two hands )\n",
      "dimly   dimmly   0.9090909090909091  ( a made bed on a tile floor in a dimmly lit room )\n",
      "kitchen   kichen   0.9230769230769231  ( a kichen with dirty dishes in the sink )\n",
      "skateboard   skatboard   0.9473684210526315  ( a young man jumpingfalling off of a skatboard )\n",
      "neighborhood   nieghborhood   0.9166666666666666  ( a white cow walking in an inhabited area of a nieghborhood )\n",
      "furnishings   funishings   0.9523809523809523  ( a bedroom with funishings sparse accessories and sparse decorum )\n",
      "thats   tha'ts   0.9090909090909091  ( a couple of street signs tha'ts next to a stop sign )\n",
      "comfy   comfty   0.9090909090909091  ( a white fluffy looking bed with four comfty pillows on it )\n",
      "against   againsta   0.9333333333333333  ( two street signs display two cross roads againsta a cloudy sky )\n",
      "different   diffrent   0.9411764705882353  ( there are diffrent trophies on display on the wall  )\n",
      "gladys   ladys   0.9090909090909091  ( two ladys sitting side by side with one holding a pastry up too her mouth )\n",
      "airplane   airplan   0.9333333333333333  ( a tv sitting on an airplan next to an electronic device )\n",
      "shirt   tshirt   0.9090909090909091  ( six people wearing the same tshirt are standing inside a room )\n",
      "living   liviing   0.9230769230769231  ( a liviing room with a stone fireplace in the middle of it )\n",
      "horses   horeses   0.9230769230769231  ( there are people riding horeses in the street  )\n",
      "sinking   siking   0.9230769230769231  ( a man siking in parking lot in the fog )\n",
      "screen   sreen   0.9090909090909091  ( a room with a very nice table and a sreen )\n",
      "feeling   feeing   0.9230769230769231  ( people at a zoo feeing a baby giraffe )\n",
      "elephant   elephan   0.9333333333333333  ( an elephan standing around next to some people  )\n",
      "street   streeet   0.9230769230769231  ( traffic is traveling both ways on the busy streeet )\n",
      "signs   ssigns   0.9090909090909091  ( a couple of ssigns on a pole by a building )\n",
      "garden   gardern   0.9230769230769231  ( a young child sits on the rails surrounding a gardern )\n",
      "collide   colide   0.9230769230769231  ( two people about to colide with each other on a skateboard ramp )\n",
      "\n",
      "\tCompleted 32000/39500\n",
      "\n",
      "final   'final   0.9090909090909091  ( a red and white passenger bus with a 'final destination 5 billboard on the side of it )\n",
      "carriage   cariage   0.9333333333333333  ( a horse drawn carriage with people in the cariage )\n",
      "standing   standig   0.9333333333333333  ( a woman is standig on the pavement looking  )\n",
      "dolls   dollys   0.9090909090909091  ( a sitting room with many chairs with dollys on them and pillows  )\n",
      "amtrak   amtrack   0.9230769230769231  ( an amtrack california train running on the track )\n",
      "motorcycle   motorcyclers   0.9090909090909091  ( a group of motorcyclers riding down a street with traffic )\n",
      "lookin   lookign   0.9230769230769231  ( a cean lookign bathroom is laid out with tile )\n",
      "luggages   luggaes   0.9333333333333333  ( a photo of black luggaes in the back trunk of a car  )\n",
      "underneath   underneat   0.9473684210526315  ( a dog is peaking its head out from underneat a bed skirt )\n",
      "bananas   banans   0.9230769230769231  ( a tray heaped with fruit including banans apples oranges and limes )\n",
      "multicolor   multicolors   0.9523809523809523  ( dozens of opened umbrellas hanging above in multicolors )\n",
      "dramatically   dramaticly   0.9090909090909091  ( a cat eats out of their food bowl dramaticly )\n",
      "white   awhite   0.9090909090909091  ( well cooked rice and vegetables on awhite plate )\n",
      "bathroom   bathrom   0.9333333333333333  ( there is a toilet in the bathrom and a shower in there  )\n",
      "meter   meeter   0.9090909090909091  ( a parking meeter next to a wall that reads tie )\n",
      "basket   baskest   0.9230769230769231  ( two lady's wearing long dresses and carrying baskest  )\n",
      "frisbee   fribee   0.9230769230769231  ( a group of guys in a field chasing a fribee )\n",
      "parachute   parachuter   0.9473684210526315  ( two beachcombers  watch a parachuter land just offshore )\n",
      "plate   plarte   0.9090909090909091  ( a plarte of various types of foods like fish and vegetables )\n",
      "stars   staris   0.9090909090909091  ( a man skat boarding down some concrete staris )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a man smiling while holding a  wierd sandwhich )\n",
      "treed   tree'd   0.9090909090909091  ( stop sign next to fenced and tree'd lot )\n",
      "giraffe   girafe   0.9230769230769231  ( a person next to a girafe statue on a city street )\n",
      "doesnt   doesn't   0.9230769230769231  ( an old cellphone that doesn't flip or have a touch screen  )\n",
      "background   backgropund   0.9523809523809523  ( a child getting on a school bus with a field in the backgropund )\n",
      "toilet   toiet   0.9090909090909091  ( there is an image of a dirty toiet  )\n",
      "doesnt   doesn't   0.9230769230769231  ( she doesn't look very comfortable holding the tennis racket )\n",
      "\n",
      "\tCompleted 33000/39500\n",
      "\n",
      "sandwiches   sandwhiches   0.9523809523809523  ( two sandwhiches sitting on a pan with tin foil  )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a person sitting outside a mcdonald's looking at a bird )\n",
      "brightly   bightly   0.9333333333333333  ( a woman smiles bightly while holding a little girl )\n",
      "parked   parkeda   0.9230769230769231  ( a road between the buildings where a big car is parkeda water hydrant is also seen )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( mcdonald's fast food on a table and a bottle of wine )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a bottle of wine sitting amongst some mcdonald's food )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "baggage   bagage   0.9230769230769231  ( a bagage track takes bags at the airports )\n",
      "extinguishers   extinguiser   0.9166666666666666  ( a fire department put a fire extinguiser in a park )\n",
      "lichen   litchen   0.9230769230769231  ( a litchen with black cabinet doors and chairs  )\n",
      "laying   layling   0.9230769230769231  ( a cat layling on a red blanket and looking relaxed )\n",
      "snowboard   sno0wboard   0.9473684210526315  ( a person in blue grabbing a sno0wboard in the air )\n",
      "shirt   tshirt   0.9090909090909091  ( a man dressed in a long sleeve tshirt and tie with a hat  to the side )\n",
      "dimly   dimmly   0.9090909090909091  ( three people posing for the camera in a dimmly lit room )\n",
      "displaying   diplaying   0.9473684210526315  ( a woman is diplaying a pizza that fits in her hands )\n",
      "refrigerator   refridgerator   0.96  ( a refridgerator with a blender and basket sitting on top  )\n",
      "raquet   raquett   0.9230769230769231  ( a man holding a raquett on a court )\n",
      "waiting   waitng   0.9230769230769231  ( there are peole sitting in a waitng room )\n",
      "pepperoni   pepperonis   0.9473684210526315  ( a pizza with pepperonis sausage and other toppings on a plate )\n",
      "background   bakground   0.9473684210526315  ( a close up of three giraffes with trees in the bakground )\n",
      "stone   stoone   0.9090909090909091  ( young man in shorts napping on stoone wall head on backback with bike next to him  )\n",
      "chandelier   chadelier   0.9473684210526315  ( a kitchen with wooden cabinets and an ornate chadelier )\n",
      "traffic   traffice   0.9333333333333333  ( a view of the city from a intersection that has traffice stopped )\n",
      "\n",
      "\tCompleted 34000/39500\n",
      "\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( an asian city square with people buses and a mcdonald's )\n",
      "picnic   picinic   0.9230769230769231  ( a group of people eating food at an outdoor picinic )\n",
      "refrigerator   refigerator   0.9565217391304348  ( a toy model of a kitchen that has a refigerator stove oven and baby play pin )\n",
      "attached   atttached   0.9411764705882353  ( a pub sign atttached to an outside wall with a clock above it )\n",
      "elephant   elphant   0.9333333333333333  ( a man riding on top of an elphant holding a stick with containers )\n",
      "building   buildling   0.9411764705882353  ( a train on the tracks passing a buildling )\n",
      "cabinets   cabnets   0.9333333333333333  ( a large kitchen with white cabnets and wood floors )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train pulling to a stop at a station )\n",
      "animal   animasl   0.9230769230769231  ( grazing animasl in sparsly vegetated natural settin near water )\n",
      "sparsely   sparsly   0.9333333333333333  ( grazing animasl in sparsly vegetated natural settin near water )\n",
      "riding   rinding   0.9230769230769231  ( there is a young boy rinding a skateboard on a ledge )\n",
      "doughnuts   doughuts   0.9411764705882353  ( gaily decorated doughuts are on paper on a table )\n",
      "motorcycles   motocycles   0.9523809523809523  ( a group of young men are riding their motocycles down the street )\n",
      "prairie   prarie   0.9230769230769231  ( flock of sheep on a prarie with the rest of the heard )\n",
      "points   pouints   0.9230769230769231  ( a guy in the suit pouints across the room )\n",
      "plowing   plowig   0.9230769230769231  ( a man is plowig a field with two large horses )\n",
      "refrigerator   refridgerator   0.96  ( a refridgerator with its door left open full of food )\n",
      "broccoli   broccolli   0.9411764705882353  ( a bowl of broccolli and something else that i don't know )\n",
      "sandel   sandels   0.9230769230769231  ( a person wearing sandels standing in front of a cat )\n",
      "background   backgroound   0.9523809523809523  ( two cars parked in parking lot with a clock tower in the backgroound )\n",
      "group   tgroup   0.9090909090909091  ( a tgroup of tanker trucks drive down an icy street in the city )\n",
      "while   whiile   0.9090909090909091  ( a woman holding an umbrella whiile standing by a counter  )\n",
      "paraglider   paraglide   0.9473684210526315  ( a group of people on a beach preparing to paraglide )\n",
      "control   controll   0.9333333333333333  ( a remote controll sitting next to an open book )\n",
      "toilet   tolet   0.9090909090909091  ( a picture of a bathroom with a sink and tolet )\n",
      "peerson   peeson   0.9230769230769231  ( a peeson at a table is eating a small pizza )\n",
      "couch   courch   0.9090909090909091  ( a woman in glasses holding a laptop on a courch )\n",
      "racket   rackett   0.9230769230769231  ( an older person standing holding a tennis rackett )\n",
      "hamster   hampster   0.9333333333333333  ( a hampster sitting on someone's hand with a piece of green leaf )\n",
      "refrigerator   refridgerator   0.96  ( a refridgerator having two gallons of milk placed on top )\n",
      "vegetables   vegtables   0.9473684210526315  ( a lot of vegtables all put up into crates  )\n",
      "connected   conected   0.9411764705882353  ( a air plane that is a model conected to a pole )\n",
      "\n",
      "\tCompleted 35000/39500\n",
      "\n",
      "though   thourgh   0.9230769230769231  ( a big blanket next to a window with light coming thourgh )\n",
      "inside   iside   0.9090909090909091  ( an oven with the door open and a closed pot on the iside )\n",
      "benign   beign   0.9090909090909091  ( a team's players are beign showcased on a flyer )\n",
      "person   peson   0.9090909090909091  ( a peson talks on a phone while playing on a computer )\n",
      "snacks   nacks   0.9090909090909091  ( a desk with  container full pens remotes and other nic nacks )\n",
      "street   stret   0.9090909090909091  ( there is an image of a busy stret with three lanes of heavy traffic )\n",
      "motorcycle   motorccle   0.9473684210526315  ( a motorccle parked on a beach near a body of water  )\n",
      "standin   standign   0.9333333333333333  ( a woman is standign next to a white horse  )\n",
      "bulding   buliding   0.9333333333333333  ( a couple of very large signs by a buliding )\n",
      "shirt   tshirt   0.9090909090909091  ( a man wearing a tie with a tshirt  )\n",
      "shirt   tshirt   0.9090909090909091  ( aman in a tshirt wearing an orange tie )\n",
      "carpeted   carpteted   0.9411764705882353  ( a bathroom toilet with a carpteted seat cover and floor rug )\n",
      "containing   contaning   0.9473684210526315  ( a close up of two plates contaning fish and carrots )\n",
      "wiimote   wiimotes   0.9333333333333333  ( two men standing around holding onto wiimotes and having drinks  )\n",
      "countryside   contryside   0.9523809523809523  ( a short train traveling through a rustic contryside )\n",
      "sprinkles   sprinkes   0.9411764705882353  ( an ice cream sundae with whip cream and sprinkes )\n",
      "skating   skateing   0.9333333333333333  ( a male standing and skateing on a skate board on a conrete surface )\n",
      "concrete   conrete   0.9333333333333333  ( a male standing and skateing on a skate board on a conrete surface )\n",
      "stable   astable   0.9230769230769231  ( two ladies wearing hats holding a horse in astable )\n",
      "bulding   buliding   0.9333333333333333  ( a couple of cars that are out front of a buliding )\n",
      "graffitied   graffiti'ed   0.9523809523809523  ( a woman posing with arms open in front of a graffiti'ed bus )\n",
      "windsock   windsocks   0.9411764705882353  ( a field full of windsocks and cars parked in the background )\n",
      "clocktower   clcktower   0.9473684210526315  ( a traffic circle with a white clcktower in the center )\n",
      "camouflage   camoflage   0.9473684210526315  ( multiple soldiers wearing camoflage uniforms on on airplane )\n",
      "flooring   floorings   0.9411764705882353  ( a room that has a brick wall and wood floorings with throw carpets on the floor )\n",
      "refrigerator   refrigeratior   0.96  ( a retro style refrigeratior is mounted into a kitchen cabinet area  )\n",
      "\n",
      "\tCompleted 36000/39500\n",
      "\n",
      "strafe   strafze   0.9230769230769231  ( a street sign reads hannah arendt strafze on the corner )\n",
      "americas   americas)   0.9411764705882353  ( sign post for 6th ave ( avenue of the americas) )\n",
      "longboards   longboarders   0.9090909090909091  ( longboarders at some congregation for the sport with professional wear )\n",
      "freeze   freez   0.9090909090909091  ( a dog that has a freez be in his mouth )\n",
      "banana   bannana   0.9230769230769231  ( a monkey sitting on the ground with a bannana )\n",
      "lessons   lessions   0.9333333333333333  ( young girls gather around an instructor for surf lessions )\n",
      "doesnt   doesn't   0.9230769230769231  ( a bright blue large truck doesn't have a load )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "motorcycle   motorcycyle   0.9523809523809523  ( a man that is sitting on a motorcycyle )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a tall wooden pole with a mcdonald's sign posted to it )\n",
      "mcdonalds   mcdonald's   0.9473684210526315  ( a sign pointing towards a mcdonald's is posted on a traffic light pole )\n",
      "jungle   ejungle   0.9230769230769231  ( an elephant walks through th ejungle to eat )\n",
      "skateboards   skatboards   0.9523809523809523  ( a couple of people that are riding around on some skatboards )\n",
      "standing   standng   0.9333333333333333  ( some kids standng in the kitchen with a cheese pizza on a tray )\n",
      "clothing   clolthing   0.9411764705882353  ( an open suit case with three purple items of clolthing )\n",
      "frisbee   frisbe   0.9230769230769231  ( a group of people playing a game of frisbe  )\n",
      "stares   sitares   0.9230769230769231  ( a llama sitares a head in a field of green grass  )\n",
      "waiting   watiting   0.9333333333333333  ( a man is holding a tennis racquet watiting his turn to swing )\n",
      "tarmac   tarmack   0.9230769230769231  ( a commercial jet open and parked at the edge of the tarmack )\n",
      "mattress   matress   0.9333333333333333  ( a man and a baby laying on a matress )\n",
      "doesnt   doesn't   0.9230769230769231  ( i stop sign that has another sign below it warning that traffic doesn't stop )\n",
      "pepperoni   peperoni   0.9411764705882353  ( a pizza with different  toppings mushrooms peppers onions peperoni )\n",
      "attempting   attemping   0.9473684210526315  ( a person attemping a skateboard trick in the driveway )\n",
      "riding   ridinbg   0.9230769230769231  ( this is a man ridinbg down a hill on skis )\n",
      "motorcycles   motorcylces   0.9090909090909091  ( the birthday cake has a road with motorcylces in the design )\n",
      "rumpled   frumpled   0.9333333333333333  ( a dog is sitting on a white sheeted bed while blankets lay frumpled alongside )\n",
      "racket   raacket   0.9230769230769231  ( a woman leaning over with a tennis raacket and ball )\n",
      "motorcyle   motorcylce   0.9473684210526315  ( there is a motorcylce with people standing on the side of the street  )\n",
      "warehouse   wharehouse   0.9473684210526315  ( a wharehouse accomodates a vast array of big trucks   )\n",
      "coffee   coffe   0.9090909090909091  ( closeup of a keyboard mouse usb device and a coffe mug )\n",
      "sitting   sittting   0.9333333333333333  ( some sliced veggies sittting  in a bowl  )\n",
      "scare   scarve   0.9090909090909091  ( on the napkin is a teddy bear scarve )\n",
      "shirt   tshirt   0.9090909090909091  ( a small girl and her teddy bear wearing a tshirt )\n",
      "walking   walkng   0.9230769230769231  ( a man with a cap and bow tie is walkng the street )\n",
      "weiner   weiners   0.9230769230769231  ( this plate contains beans scrambled eggs some sort of weiners and cherry tomatoes on the vine )\n",
      "\n",
      "\tCompleted 37000/39500\n",
      "\n",
      "cucumbers   cucmbers   0.9411764705882353  ( a bowl sitting on a plate with cucmbers lettuce and meat in it )\n",
      "racquets   raquets   0.9333333333333333  ( the raquets are displayed by the pictures of the famous people )\n",
      "passerby   passerbys   0.9411764705882353  ( a man selling bananas and other fruits in a street market to passerbys )\n",
      "rapids   rappids   0.9230769230769231  ( a young elephant in a river with rappids )\n",
      "windsock   windsocks   0.9411764705882353  ( people on a beach with a colored windsock and american flag colored windsocks )\n",
      "shelf   shelfs   0.9090909090909091  ( a tv mounted inside of a wall between two shelfs )\n",
      "helicopter   heliocopter   0.9523809523809523  ( a group of people boarding a heliocopter with bags  )\n",
      "flipped   fliped   0.9230769230769231  ( a man fliped up side down while wind surfing )\n",
      "rustic   rustc   0.9090909090909091  ( aoold rustc sign is standing upright in some grass )\n",
      "outside   outsid   0.9230769230769231  ( a bunch of buildings that have signs on the outsid )\n",
      "writing   writting   0.9333333333333333  ( steel train bridge with pembroke magdalene fitz too easy writting on brige and graffati under neath  )\n",
      "bridge   brige   0.9090909090909091  ( steel train bridge with pembroke magdalene fitz too easy writting on brige and graffati under neath  )\n",
      "layin   layign   0.9090909090909091  ( a person layign in a bed wit ha cat on top of them )\n",
      "frisbee   frisbe   0.9230769230769231  ( a man with a frisbe in hand gets cheered on by other people )\n",
      "components   componets   0.9473684210526315  ( a remote control various electronic componets and a computer keyboard sitting on a map )\n",
      "colored   coloried   0.9333333333333333  ( two multi coloried cats asleep on a desk )\n",
      "traffic   traffice   0.9333333333333333  ( a traffic light sits on top of another traffice light )\n",
      "lookin   lookign   0.9230769230769231  ( a good lookign dish of food is arrange don a plate )\n",
      "vegetables   vegtables   0.9473684210526315  ( white container with various green and yellow vegtables )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a plate with a breakfast sandwhich and some other food along with 2 mugs )\n",
      "buildings   buidings   0.9411764705882353  ( a man swings a glider across a big buidings roof )\n",
      "rumpled   frumpled   0.9333333333333333  ( a frumpled white bed is situated in a bedroom which is free of decorative elements )\n",
      "person   peson   0.9090909090909091  ( a peson in black jacket snowboarding on a slope )\n",
      "looking   ooking   0.9230769230769231  ( a nice ooking slow cooked chicken sandwich meal )\n",
      "giraffe   giraff   0.9230769230769231  ( a giraff bending its neck by a fence )\n",
      "\n",
      "\tCompleted 38000/39500\n",
      "\n",
      "preparing   prepairing   0.9473684210526315  ( a skate boarder at night prepairing to skate away )\n",
      "umbrellas   umbrells   0.9411764705882353  ( a group of people with umbrells sitting next to a picture )\n",
      "umbrellas   umbrells   0.9411764705882353  ( people holding umbrells standing around the side of the road  )\n",
      "sidewalk   sidewaolk   0.9411764705882353  ( a skateboarder is doing a trick on the sidewaolk )\n",
      "graffitied   grafitied   0.9473684210526315  ( a photo of a stop sign in front of a grafitied truck )\n",
      "enclosure   eclosure   0.9411764705882353  ( one lone giraffe walking inside an eclosure at a zoo )\n",
      "cheese   cheesey   0.9230769230769231  ( the  pizza  is cheesey wiith peporoni for the topping )\n",
      "frisbee   frisbe   0.9230769230769231  ( a child is posing for a picture with her frisbe )\n",
      "several   serveral   0.9333333333333333  ( serveral cows behind barbed wire in a field )\n",
      "living   iving   0.9090909090909091  ( there is al iving room with a chair and table  )\n",
      "ollie   ollies   0.9090909090909091  ( a skateboarder ollies over a boulder at night )\n",
      "filed   fiiled   0.9090909090909091  ( a counter fiiled with assorted items for a salad )\n",
      "platform   plateform   0.9411764705882353  ( man lying on back on stainless steal plateform )\n",
      "intricately   intracately   0.9090909090909091  ( an intracately designed boat on a river bank )\n",
      "restaurant   resturant   0.9473684210526315  ( a woman talking on a cell phone in a resturant )\n",
      "waters   watrers   0.9230769230769231  ( a person  on surfing board moving very fast on watrers )\n",
      "evening   eveining   0.9333333333333333  ( a clock tower on a late eveining day )\n",
      "buried   burried   0.9230769230769231  ( a cat with its head burried in a shoe )\n",
      "leeks   (leeks   0.9090909090909091  ( fruits herbs and veggies on a countertop (leeks rosemary lemon cauliflower etc) )\n",
      "filed   fileed   0.9090909090909091  ( a plate fileed with assorted veggies and a sliver spoon  )\n",
      "color   colord   0.9090909090909091  ( a group of multi colord motorcycles parked on the street )\n",
      "\n",
      "\tCompleted 39000/39500\n",
      "\n",
      "kitchen   kichen   0.9230769230769231  ( a tablein a kichen with dishes and a canister on it )\n",
      "cauliflower   califlower   0.9523809523809523  ( a basket of broccoli carrots and some califlower )\n",
      "frisbee   frisbe   0.9230769230769231  ( a woman tries to catch a frisbe as a man watches on )\n",
      "umbrellas   umbellas   0.9411764705882353  ( a business tht has some umbellas and products sitting out front  )\n",
      "group   grouop   0.9090909090909091  ( a grouop of giraffes sitting and walking through the wilderness )\n",
      "motorcyle   motorcylce   0.9473684210526315  ( a motorcylce sits on the pavement on a cloudy day )\n",
      "kickstand   kickstands   0.9473684210526315  ( two motorcycles leaning on their kickstands on a lawn )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "grabbing   grabing   0.9333333333333333  ( a fire hydrgon that a man is grabing )\n",
      "sandwich   sandwhich   0.9411764705882353  ( a sandwhich cut in half and sitting on top of wrapping paper )\n",
      "dinghy   dinghys   0.9230769230769231  ( a row of dinghys are pulled up on a beach with people in the background )\n"
     ]
    }
   ],
   "source": [
    "word_list = []\n",
    "\n",
    "# fname_to_caption_map is a filename -> [caption1, caption2, caption3]\n",
    "# each caption is words seperated by spaces\n",
    "\n",
    "completed_i = 0 # Used to print progress\n",
    "\n",
    "# Iterate through caption lists for each image\n",
    "for fn, cap_list in train_fname_to_caption_map.items():\n",
    "    \n",
    "    # Progress\n",
    "    completed_i += 1\n",
    "    if completed_i%1000==0:\n",
    "        print('\\n\\tCompleted %d/%d\\n'%(completed_i, len(train_fname_to_caption_map)))\n",
    "    \n",
    "    # Process each caption in list for a given image\n",
    "    for cap_idx, cap in enumerate(cap_list):\n",
    "        cap_corrected = [] # Stores the corrected caption\n",
    "        cap_words = cap.split(' ') # Break caption to words\n",
    "        \n",
    "        # For each word in a caption\n",
    "        for wi, cw in enumerate(cap_words):\n",
    "            \n",
    "            # We are going to truncate all the long sentences \n",
    "            # to 12 words. So let's save some computational time\n",
    "            # by only correcting first 12 words of each caption\n",
    "            if wi>12:\n",
    "                break\n",
    "                \n",
    "            wid = dictionary[cw]\n",
    "            \n",
    "            # If word is in the notfound words\n",
    "            if wid in notfound_word_ids:\n",
    "                \n",
    "                # For each word not found in pretrained embeddings we find most similar spellings\n",
    "                for gw in words_in_glove:\n",
    "\n",
    "                    cor, found_sim = correct_spellings.correct_wrong_word(cw,gw,cap)\n",
    "                    cap_corrected.append(cor)\n",
    "                    # We stop search as soon as we find \n",
    "                    # some mathing word\n",
    "                    if found_sim:\n",
    "                        break\n",
    "            else:\n",
    "                cap_corrected.append(cw)\n",
    "        \n",
    "        # String with correct spellings\n",
    "        cap_corrected_str = ' '.join(cap_corrected)\n",
    "        \n",
    "        # Update the word list: contains unique words\n",
    "        word_list.extend(cap_corrected_str.split(' '))\n",
    "        word_list = list(set(word_list))\n",
    "        cap_list[cap_idx] = cap_corrected_str\n",
    "     \n",
    "    # Update the caption holder with the correct caption (in place)\n",
    "    train_fname_to_caption_map[fn] = cap_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correcting Spellings for Validation/Testing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "parasail   parasails   0.9411764705882353  ( parasails glide above the blue water of the lake )\n",
      "necklace   knecklace   0.9411764705882353  ( someone wearing a knecklace with a charm of a pair of scissors on it )\n",
      "skateboarder   skaterboader   0.9166666666666666  ( a skaterboader flipping his skateboard in the air )\n",
      "grinding   igrinding   0.9411764705882353  ( view of a skateboarder igrinding a rail through a lens )\n",
      "porcelain   porcelin   0.9411764705882353  ( a squat style toilet made of white porcelin )\n",
      "chocolate   choclate   0.9411764705882353  ( a child is eating a choclate doughnout  )\n",
      "doughnut   doughnout   0.9411764705882353  ( a child is eating a choclate doughnout  )\n",
      "bright   beright   0.9230769230769231  ( children on beright sunny day playing soccer who appear to be about 5 years old  )\n",
      "shaped   shapped   0.9230769230769231  ( a bathroom with a blue tiled floor and a odd shapped toilet )\n",
      "mirror   miror   0.9090909090909091  ( a close up of a motorcycle rear view miror )\n",
      "convenience   conveneince   0.9090909090909091  ( a man sitting on a bike outside a conveneince store )\n",
      "walkin   walkinf   0.9230769230769231  ( a giraffe walkinf during the day near a wood fence )\n",
      "surfboard   surboard   0.9411764705882353  ( a man is riding a surboard on a wave )\n",
      "wrapped   wraped   0.9230769230769231  ( a woman wraped up with her hand in the air )\n",
      "frisbee   frisbe   0.9230769230769231  ( a bunch of kids sitting on grass holding a frisbe )\n",
      "remodeled   remodled   0.9411764705882353  ( a toilet inside a small bathroom being remodled )\n",
      "doesnt   doesn't   0.9230769230769231  ( an advertisement of food doesn't look too appealing )\n",
      "freeze   freez   0.9090909090909091  ( a dog that is standing on a brick pathway with a freez bee )\n",
      "motorcyle   motorcylce   0.9473684210526315  ( a man is sitting on a black motorcylce )\n",
      "toilet   tolet   0.9090909090909091  ( a shower room with two buckets tolet paper holder and soap )\n",
      "culture   sculture   0.9333333333333333  ( a brontosaurus sculture on grassy area with kites around )\n",
      "environment   envirnonment   0.9565217391304348  ( a pickup truck driving through a desert envirnonment )\n",
      "boarding   bording   0.9333333333333333  ( a man skate bording going up on a ramp  )\n",
      "boutonniere   bouttoniere   0.9090909090909091  ( a girl pins a bouttoniere on the lapel of her date )\n",
      "kitchen   kichen   0.9230769230769231  ( a small kichen area with a sunlight and and angled ceiling )\n",
      "control   controll   0.9333333333333333  ( a man jumping in the air holding a pink wii controll system )\n",
      "bulding   buliding   0.9333333333333333  ( a motorcycle that is parked in side a buliding )\n",
      "lookin   lookign   0.9230769230769231  ( a nice lookign studio is covered in paitn and papers )\n",
      "baseball   baeball   0.9333333333333333  ( a baeball player is holding a bat at a game )\n",
      "contain   containg   0.9333333333333333  ( a birds eye view of a set table containg a meal for two  )\n",
      "doesnt   doesn't   0.9230769230769231  ( that bathroom doesn't look to be a comfortable one )\n",
      "bicycles   bicyclers   0.9411764705882353  ( a couple bicyclers ride on the street at night )\n",
      "playing   playng   0.9230769230769231  ( four people on the tennis court playng a doubles match  )\n",
      "zebra   zeebra   0.9090909090909091  ( a zeebra running on a grass feild in a park )\n",
      "pigeons   pidgeons   0.9333333333333333  ( a man sits on a park bench surrounded by pidgeons )\n",
      "sidewalk   sidwalk   0.9333333333333333  ( a white van that is next to a sidwalk )\n",
      "passangers   passanger   0.9473684210526315  ( a passanger train waiting to load more passangers )\n",
      "holing   holidng   0.9230769230769231  ( a man is holidng a dog on teh side walk  )\n",
      "scissors   scisors   0.9333333333333333  ( a man at a table with two pairs of scisors )\n",
      "danger   'danger   0.9230769230769231  ( a close up of a country sign the picture is a personified bus that is freaking out because it is about to hit a biker and the sign below reads 'danger traversee de route' )\n",
      "traverse   traversee   0.9411764705882353  ( a close up of a country sign the picture is a personified bus that is freaking out because it is about to hit a biker and the sign below reads 'danger traversee de route' )\n",
      "route   route'   0.9090909090909091  ( a close up of a country sign the picture is a personified bus that is freaking out because it is about to hit a biker and the sign below reads 'danger traversee de route' )\n",
      "people   perople   0.9230769230769231  ( many perople sitting on the floor holding opened umbrellas )\n",
      "slope   slople   0.9090909090909091  ( a snow boarder riding a ski lift up a snow covered ski slople )\n",
      "Completed 1000/1000\n"
     ]
    }
   ],
   "source": [
    "completed_i = 0 # Used to print progress\n",
    "\n",
    "# Iterate through caption lists for each image\n",
    "for fn, cap_list in valid_fname_to_caption_map.items():\n",
    "    \n",
    "    # Progress\n",
    "    completed_i += 1\n",
    "    if completed_i%1000==0:\n",
    "        print('Completed %d/%d'%(completed_i, len(valid_fname_to_caption_map)))\n",
    "        \n",
    "    # Process each caption in list for a given image\n",
    "    for cap_idx, cap in enumerate(cap_list):\n",
    "        cap_corrected = []\n",
    "        cap_words = cap.split(' ') # break caption to words\n",
    "        \n",
    "        # For each word in a caption\n",
    "        for cw in cap_words:\n",
    "            \n",
    "            if cw in dictionary:\n",
    "                wid = dictionary[cw]\n",
    "                \n",
    "                # If word is in the notfound words\n",
    "                if wid in notfound_word_ids:\n",
    "\n",
    "                    # for each word not found in pretrained embeddings we find most similar spellings\n",
    "                    for gw in words_in_glove:\n",
    "                        cor, found_sim = correct_spellings.correct_wrong_word(cw,gw,cap)\n",
    "                        cap_corrected.append(cor)\n",
    "\n",
    "                        # We stop search as soon as we find \n",
    "                        # some mathing word\n",
    "                        if found_sim:\n",
    "                            break\n",
    "                else:\n",
    "                    cap_corrected.append(cw)\n",
    "            else:\n",
    "                cap_corrected.append(cw)\n",
    "        \n",
    "        # String with correct spellings\n",
    "        cap_corrected_str = ' '.join(cap_corrected)\n",
    "        \n",
    "        # Update the word list: contains unique words\n",
    "        word_list.extend(cap_corrected_str.split(' '))\n",
    "        word_list = list(set(word_list))\n",
    "        cap_list[cap_idx] = cap_corrected_str\n",
    "        \n",
    "    valid_fname_to_caption_map[fn] = cap_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building the Dictionary with Clean Data\n",
    "\n",
    "Now we again create `dictionary` and `reverse_dictionary` objects with the correctly spelled data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Sample words\n",
      "['', 'escalators', 'preparation', 'squatting', 'wort', 'bodyboard', 'horse', 'setups', 'parker', 'ears']\n",
      "\n",
      "Sample Dictionary Items\n",
      "[('', 2), ('escalators', 3), ('preparation', 4), ('squatting', 5), ('wort', 7), ('simple', 4386), ('bodyboard', 8), ('horse', 9), ('hyrdant', 15468), ('aliens', 17550)]\n",
      "\n",
      "Sample Reverse Dictionary Items\n",
      "[(0, 'SOS'), (1, 'EOS'), (2, ''), (3, 'escalators'), (4, 'preparation'), (5, 'squatting'), (6, 'campstove'), (7, 'wort'), (8, 'bodyboard'), (9, 'horse')]\n",
      "\n",
      "Vocabulary size:  17954\n"
     ]
    }
   ],
   "source": [
    "# Add two special tokens to the dictionary\n",
    "dictionary = {'SOS':0, 'EOS': 1}\n",
    "\n",
    "# Create an ID for each word in the unique_words\n",
    "for tg in unique_words:\n",
    "    dictionary[tg] = len(dictionary)\n",
    "\n",
    "reverse_dictionary = dict([(v,k) for k,v in dictionary.items()]) \n",
    "\n",
    "# Print some data\n",
    "print('\\nSample words')\n",
    "print(word_list[:10])\n",
    "print('\\nSample Dictionary Items')\n",
    "print(list(dictionary.items())[:10])\n",
    "print('\\nSample Reverse Dictionary Items')\n",
    "print(list(reverse_dictionary.items())[:10])\n",
    "print('\\nVocabulary size: ',len(dictionary))\n",
    "\n",
    "# Just checking if the dictionary and reverse dictionary\n",
    "# are correct\n",
    "assert 'horse' == reverse_dictionary[dictionary['horse']]\n",
    "\n",
    "vocabulary_size = len(dictionary)\n",
    "\n",
    "del word_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['COCO_val2014_000000514249.jpg', [0, 5284, 9574, 12357, 14855, 14824, 5893, 11312, 16582, 10174, 13026, 8564]], ['COCO_val2014_000000514249.jpg', [0, 17393, 5713, 15423, 5284, 2718, 16239, 8564, 6222, 4006, 5284, 12357]], ['COCO_val2014_000000514249.jpg', [0, 5284, 9574, 12357, 14855, 8564, 12303, 14824, 2784, 5284, 16239, 5713]], ['COCO_val2014_000000514249.jpg', [0, 5284, 9574, 12357, 14855, 4996, 5893, 11312, 1900, 15954, 4575, 1]], ['COCO_val2014_000000514249.jpg', [0, 5284, 12357, 14855, 7140, 4996, 14824, 2784, 17393, 4621, 1, 1]], ['COCO_val2014_000000562054.jpg', [0, 5284, 11252, 2271, 15423, 9237, 7420, 10550, 5284, 14696, 4006, 5284]], ['COCO_val2014_000000562054.jpg', [0, 17453, 13260, 9237, 11010, 15423, 7420, 8564, 5284, 7621, 1, 1]], ['COCO_val2014_000000562054.jpg', [0, 17453, 13260, 9237, 7420, 7140, 13260, 11451, 16861, 8640, 15472, 2]], ['COCO_val2014_000000562054.jpg', [0, 9237, 4055, 2164, 12519, 11451, 5893, 11312, 8640, 15472, 1, 1]], ['COCO_val2014_000000562054.jpg', [0, 3810, 12006, 4996, 14840, 11582, 7348, 2784, 11337, 15036, 17328, 1]]]\n"
     ]
    }
   ],
   "source": [
    "train_fname_caption_numeric_tuples = []\n",
    "valid_fname_caption_numeric_tuples = []\n",
    "\n",
    "# Add SOS to beginning of sentence, Add EOS s.t. all captions size = max_caption_length\n",
    "# we need to make the max_cap_length even (12) s.t. when we add the image vector the full length is odd (13.\n",
    "# Then we can generate an unroll a single batch in two steps\n",
    "# We do the 6 unrollings per a single batch of images (defined later), \n",
    "# therefore needing 2 iterations to process a full batch\n",
    "# If you have a large GPU, you can set this to 12 (image feature vec + caption), \n",
    "# which will increase computational efficiency\n",
    "max_caption_length = 12\n",
    "\n",
    "# Traverse through each and every training caption\n",
    "for k,v in train_fname_to_caption_map.items():\n",
    "    # Each image has several captions\n",
    "    for cap in v:\n",
    "        # Split the caption to words\n",
    "        cap_tokens = cap.split(' ')\n",
    "        # Insert a SOS at the beginning\n",
    "        cap_tokens.insert(0,'SOS')\n",
    "        # If the sentence is short, append EOS until the caption is max_caption_length long\n",
    "        if len(cap_tokens)<max_caption_length:\n",
    "            cap_tokens.extend(['EOS' for _ in range(max_caption_length-len(cap_tokens))])\n",
    "        # If the sentence is long, truncate the sentence so the caption is max_caption_length long\n",
    "        if len(cap_tokens) > max_caption_length:\n",
    "            del cap_tokens[max_caption_length:]\n",
    "        \n",
    "        # Make sure the processed caption is max_caption_length long\n",
    "        assert len(cap_tokens)==max_caption_length\n",
    "        \n",
    "        # Replace each word in the caption with word ID\n",
    "        num_cap = []\n",
    "        for word in cap_tokens:\n",
    "            num_cap.append(dictionary[word])\n",
    "        \n",
    "        # Add the numerical caption to the list\n",
    "        train_fname_caption_numeric_tuples.append([k,num_cap])\n",
    "\n",
    "# Process all the captions in the validation set similarl\n",
    "# to the training set\n",
    "for k,v in valid_fname_to_caption_map.items():\n",
    "    for cap in v:\n",
    "        cap_tokens = cap.split(' ')\n",
    "        cap_tokens.insert(0,'SOS')\n",
    "        if len(cap_tokens)<max_caption_length:\n",
    "            cap_tokens.extend(['EOS' for _ in range(max_caption_length-len(cap_tokens))])\n",
    "        if len(cap_tokens) > max_caption_length:\n",
    "            del cap_tokens[max_caption_length:]\n",
    "        \n",
    "        assert len(cap_tokens)==max_caption_length\n",
    "        num_cap = []\n",
    "        for word in cap_tokens:\n",
    "            num_cap.append(dictionary[word])\n",
    "        \n",
    "        valid_fname_caption_numeric_tuples.append([k,num_cap])\n",
    "\n",
    "print(train_fname_caption_numeric_tuples[:10])\n",
    "\n",
    "# Persist the numerical captions so that we can run the code from the next cell onwards\n",
    "# if needed\n",
    "with open(os.path.join('tmp','tmp_rnn_api_train_fname_caption_numeric_tuples.pkl'),'wb') as f:\n",
    "    pickle.dump(train_fname_caption_numeric_tuples,f)\n",
    "with open(os.path.join('tmp','tmp_rnn_api_valid_fname_caption_numeric_tuples.pkl'),'wb') as f:\n",
    "    pickle.dump(valid_fname_caption_numeric_tuples,f)\n",
    "with open(os.path.join('tmp','tmp_rnn_api_reverse_dictionary.pkl'),'wb') as f:\n",
    "    pickle.dump(reverse_dictionary,f)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the Pretrained Embeddings with the Clean Data\n",
    "\n",
    "Here we run the code we ran initially to initialize the pretrained vector numpy array but this time with the cleaned data. We have to rerun this because the dictionary changed after cleaning data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pret_embeddings = np.empty(shape=(vocabulary_size,50),dtype=np.float32)\n",
    "\n",
    "words_in_glove = []\n",
    "words_found = 0\n",
    "found_word_ids = []\n",
    "\n",
    "# We read the downloaded zip file containing GloVe vectors\n",
    "with zipfile.ZipFile('glove.6B.zip') as glovezip:\n",
    "    with glovezip.open('glove.6B.50d.txt') as glovefile:\n",
    "        \n",
    "        # Each line of GloVe represents a vector separated by commas\n",
    "        # where first element is the word followed by the word vector\n",
    "        for li, line in enumerate(glovefile):\n",
    "            # Progress\n",
    "            if (li+1)%10000==0: print('.',end='')\n",
    "                \n",
    "            # Reading in the line\n",
    "            line_tokens = line.decode('utf-8').split(' ')\n",
    "            \n",
    "            # Get the word\n",
    "            word = line_tokens[0]\n",
    "            \n",
    "            # Get the word vector\n",
    "            vector = [float(v) for v in line_tokens[1:]]\n",
    "                    \n",
    "            # For each word in the dictionary\n",
    "            if word in dictionary.keys():\n",
    "                # Update the pret_embeddings array\n",
    "                pret_embeddings[dictionary[word],:] = vector\n",
    "                \n",
    "                # Update inforation about matched words between the files\n",
    "                words_found += 1\n",
    "                found_word_ids.append(dictionary[word])\n",
    "                \n",
    "                # We initialize the words like person's with the embeddings of person\n",
    "                # because pretrained embeddings dont have words like person's\n",
    "                word_with_s = word + '\\'s'\n",
    "                if word_with_s in dictionary.keys():\n",
    "                    pret_embeddings[dictionary[word_with_s],:] = vector\n",
    "                    words_found += 1\n",
    "                    found_word_ids.append(dictionary[word_with_s])\n",
    "\n",
    "# Print some statistics \n",
    "print('\\n%d Words matched from pretrained embeddings (After matching words with \\'s)'%words_found)\n",
    "print('Words not found in the embeddings')\n",
    "notfound_word_ids = list(set(list(range(0,vocabulary_size))) - set(found_word_ids))\n",
    "for wid in notfound_word_ids[:100]:\n",
    "    print(reverse_dictionary[wid],end=' ')\n",
    "\n",
    "# We will add vectors for SOS and EOS manually (random)\n",
    "pret_embeddings[0,:]= np.random.uniform(size=(50),low=-1.0, high=1.0)\n",
    "pret_embeddings[1,:]= np.random.uniform(size=(50),low=-1.0, high=1.0)\n",
    "\n",
    "#Saving the pretrained_glove_embeddings\n",
    "work_dir = 'image_caption_data'\n",
    "np.save(work_dir + os.sep + 'pretrained-glove-embeddings-tmp',pret_embeddings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RESTORE POINT: Load Numerical Captions from Disk\n",
    "Only run this code if you closed the notebook after running the code above and starting fresh. *You do not need to run this if you have run the above code successfully*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Set the image file directory\n",
    "image_file_dir = os.path.join('image_caption_data', *('train_valid','images'))\n",
    "# Get the filenames in the directory\n",
    "image_filenames = [os.path.join(image_file_dir,f) \\\n",
    "                   for f in os.listdir(image_file_dir) \\\n",
    "                   if os.path.isfile(os.path.join(image_file_dir, f)) and f.endswith('.jpg')]\n",
    "\n",
    "# Splitting training and testing data\n",
    "train_image_filenames = image_filenames[1000:] \n",
    "test_image_filenames = image_filenames[:1000]\n",
    "\n",
    "if os.path.exists(os.path.join('tmp','tmp_rnn_api_train_fname_caption_numeric_tuples.pkl')):\n",
    "    with open(os.path.join('tmp','tmp_rnn_api_train_fname_caption_numeric_tuples.pkl'),'rb') as f:\n",
    "        train_fname_caption_numeric_tuples = pickle.load(f)\n",
    "else:\n",
    "    print('You cannot use this restoration point as '+\n",
    "          'the file tmp/tmp_rnn_api_train_fname_caption_numeric_tuples.pkl does not exist')\n",
    "    \n",
    "if os.path.exists(os.path.join('tmp','tmp_rnn_api_valid_fname_caption_numeric_tuples.pkl')):\n",
    "    with open(os.path.join('tmp','tmp_rnn_api_valid_fname_caption_numeric_tuples.pkl'),'rb') as f:\n",
    "        valid_fname_caption_numeric_tuples = pickle.load(f)\n",
    "else:\n",
    "    print('You cannot use this restoration point as '+\n",
    "          'the file tmp/tmp_rnn_api_valid_fname_caption_numeric_tuples.pkl does not exist')\n",
    "        \n",
    "if os.path.exists(os.path.join('tmp','tmp_rnn_api_reverse_dictionary.pkl')):\n",
    "    with open(os.path.join('tmp','tmp_rnn_api_reverse_dictionary.pkl'),'rb') as f:\n",
    "        reverse_dictionary = pickle.load(f)\n",
    "else:\n",
    "    print('You cannot use this restoration point as '+\n",
    "          'the file tmp/tmp_rnn_api_reverse_dictionary.pkl does not exist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a Validation Caption Dictionary\n",
    "\n",
    "Here we create a dictionary `valid_fname_caption_map` which has the format `{fname_1:[[caption 1 word list],[caption 2 word list],...,[caption 3 word list]]}`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'COCO_val2014_000000006266.jpg': [['the', 'side', 'of', 'a', 'cow', 'with', 'an', 'injury', 'visible'], ['the', 'cow', 'has', 'a', 'rubber', 'apparatus', 'surgically', 'implanted', 'on', \"it's\", 'side'], ['a', 'white', 'cow', 'standing', 'with', 'a', 'cut', 'out', 'incision', 'on', \"it's\"], ['a', 'cow', 'with', 'a', 'giant', 'sore', 'on', \"it's\", 'side'], ['small', 'hole', 'taken', 'out', 'of', 'the', 'side', 'of', 'a', 'large', 'white']], 'COCO_val2014_000000010440.jpg': [['a', 'helicopter', 'is', 'flying', 'upwards', 'in', 'the', 'sky'], ['a', 'helicopter', 'flying', 'through', 'a', 'cloudy', 'gray', 'sky'], ['a', 'green', 'and', 'grey', 'helicopter', 'in', 'a', 'hazy', 'sky'], ['a', 'helicopter', 'goes', 'through', 'the', 'grey', 'sky', '', '', '', ''], ['the', 'helicopter', 'has', 'a', 'red', 'stream', 'coming', 'from', 'its', 'bottom', 'half']], 'COCO_val2014_000000002261.jpg': [['a', 'man', 'on', 'a', 'blue', 'raft', 'attempting', 'to', 'catch', 'a', 'ride'], ['the', 'boy', 'is', 'looking', 'back', 'at', 'a', 'wave', 'in', 'the', 'ocean'], ['a', 'young', 'man', 'is', 'body', 'surfing', 'and', 'paddling', 'in', 'the', 'water'], ['a', 'man', 'in', 'a', 'black', 'shirt', 'plays', 'on', 'an', 'ocean', 'wave'], ['a', 'boy', 'riding', 'a', 'boogie', 'board', 'in', 'the', 'ocean', 'waves']], 'COCO_val2014_000000013220.jpg': [['a', 'family', 'sitting', 'at', 'a', 'dinner', 'table', 'with', 'bowls', 'of', 'soup'], ['a', 'family', 'sitting', 'around', 'a', 'table', 'eating', 'dinner'], ['the', 'woman', 'and', 'children', 'share', 'a', 'meal', 'at', 'the', 'table'], ['a', 'woman', 'and', 'children', 'are', 'sitting', 'at', 'a', 'table', 'while', 'plates'], ['a', 'woman', 'and', 'three', 'children', 'at', 'a', 'table']], 'COCO_val2014_000000000802.jpg': [['a', 'kitchen', 'with', 'a', 'refrigerator', 'stove', 'and', 'oven', 'with', 'cabinets'], ['a', 'white', 'oven', 'and', 'a', 'white', 'refrigerator', 'are', 'in', 'the', 'kitchen'], ['the', 'refrigerator', 'is', 'brand', 'new', 'and', 'was', 'delivered', 'today'], ['stark', 'white', 'appliances', 'stand', 'out', 'against', 'brown', 'wooden', 'cabinets'], ['kitchen', 'appliances', 'and', 'cabinets', 'as', 'seen', 'through', 'opening']], 'COCO_val2014_000000011374.jpg': [['a', 'branch', 'stretches', 'in', 'the', 'air', 'while', 'an', 'airplane', 'flies', 'in'], ['the', 'plane', 'is', 'flying', 'to', 'close', 'to', 'the', 'trees'], ['a', 'jet', 'plane', 'flying', 'past', 'a', 'set', 'of', 'tree', 'limbs'], ['a', 'plane', 'descends', 'as', 'seen', 'through', 'tree', 'branches'], ['a', 'picture', 'of', 'a', 'jet', 'flying', 'in', 'the', 'air', 'framed', 'by']], 'COCO_val2014_000000010216.jpg': [['a', 'woman', 'serving', 'the', 'tennis', 'ball', 'on', 'the', 'court'], ['a', 'tennis', 'player', 'who', 'is', 'leaping', 'to', 'hit', 'the', 'ball', 'during'], ['a', 'girl', 'is', 'swinging', 'her', 'tennis', 'racquet', 'at', 'at', 'the', 'ball'], ['woman', 'playing', 'tennis', 'at', 'a', 'large', 'tennis', 'match'], ['a', 'tennis', 'player', 'is', 'jumping', 'up', 'to', 'hit', 'the', 'ball']], 'COCO_val2014_000000006397.jpg': [['a', 'cat', 'laying', 'next', 'to', 'another', 'cat', 'in', 'a', 'piece', 'of'], ['a', 'cat', 'lying', 'in', 'a', 'open', 'suitcase', 'on', 'a', 'chair'], ['gray', 'cat', 'lying', 'inside', 'of', 'suitcase', 'on', 'chair'], ['a', 'close', 'up', 'of', 'some', 'cats', 'inside', 'of', 'an', 'open', 'bag'], ['a', 'gray', 'and', 'white', 'cat', 'sitting', 'in', 'a', 'black', 'suitcase', 'which']], 'COCO_val2014_000000000395.jpg': [['a', 'man', 'talking', 'on', 'his', 'phone', 'in', 'the', 'public'], ['a', 'man', 'using', 'a', 'cell', 'phone', 'amongst', 'a', 'crowd', 'of', 'people'], ['a', 'man', 'in', 'a', 'crown', 'wears', 'a', 'red', 'jacket', 'and', 'is'], ['a', 'man', 'standing', 'on', 'a', 'busy', 'sidewalk', 'while', 'talking', 'on', 'his'], ['a', 'man', 'with', 'a', 'white', 'beard', 'and', 'hat', 'on', 'a', 'cellphone']], 'COCO_val2014_000000012744.jpg': [['one', 'motorcycle', 'rider', 'riding', 'going', 'up', 'the', 'mountain', 'two', 'going', 'down'], ['a', 'group', 'of', 'people', 'riding', 'motorcycles', 'down', 'a', 'winding', 'road'], ['men', 'with', 'helmets', 'on', 'motorcycles', 'driving', 'on', 'a', 'hilly', 'road', ''], ['many', 'people', 'riding', 'motorcycles', 'on', 'a', 'street', 'in', 'the', 'mountains', ''], ['four', 'people', 'are', 'riding', 'motorcycles', 'in', 'the', 'mountains']], 'COCO_val2014_000000001342.jpg': [['open', 'book', 'with', 'images', 'of', 'various', 'airplane', 'models', 'and', 'shapes'], ['an', 'open', 'book', 'with', 'photos', 'of', 'trains', '', '', '', ''], ['an', 'open', 'book', 'showing', 'a', 'page', 'about', 'airplane', 'shapes'], ['a', 'person', 'holding', 'a', 'book', 'opened', 'to', 'a', 'page', 'with', 'pictures'], ['a', 'person', 'holding', 'an', 'open', 'book', 'in', 'their', 'hand']], 'COCO_val2014_000000005146.jpg': [['a', 'mama', 'horse', 'walking', 'in', 'front', 'of', 'a', 'baby', 'horse'], ['there', 'are', 'two', 'horses', 'walking', 'in', 'a', 'grassy', 'field'], ['two', 'horses', 'near', 'a', 'field', 'with', 'houses', 'in', 'the', 'back'], ['a', 'horse', 'is', 'standing', 'in', 'the', 'green', 'grass', 'near', 'the', 'barn'], ['an', 'adult', 'horse', 'and', 'calf', 'standing', 'in', 'a', 'green', 'pasture']], 'COCO_val2014_000000013175.jpg': [['boy', 'in', 'college', 'shirt', 'riding', 'skateboard', 'along', 'curved', 'rail'], ['a', 'man', 'grinding', 'a', 'rail', 'on', 'a', 'skateboard'], ['a', 'guy', 'grinding', 'his', 'skateboard', 'on', 'a', 'wooden', 'post'], ['man', 'on', 'a', 'skateboard', 'sliding', 'down', 'a', 'railing'], ['a', 'man', 'in', 'a', 'blue', 'shirt', 'and', 'jeans', 'skateboards', 'on', 'a']], 'COCO_val2014_000000002525.jpg': [['a', 'clerk', 'stands', 'amid', 'an', 'ornate', 'cupcake', 'display'], ['a', 'woman', 'is', 'selling', 'fancy', 'cupcake', 'at', 'a', 'festival'], ['the', 'young', 'woman', 'is', 'selling', 'many', 'types', 'of', 'cupcakes'], ['a', 'young', 'woman', 'wearing', 'a', 'striped', 'apron', 'stands', 'between', 'trays', 'of'], ['a', 'woman', 'sells', 'cupcakes', 'with', 'fancy', 'decorations', 'on', 'them']], 'COCO_val2014_000000008350.jpg': [['a', 'large', 'dog', 'sitting', 'on', 'top', 'of', 'a', 'roof'], ['a', 'dog', 'is', 'on', 'the', 'roof', 'of', 'a', 'building', '', ''], ['a', 'brown', 'and', 'black', 'dog', 'is', 'laying', 'on', 'a', 'roof'], ['a', 'dog', 'is', 'laying', 'on', 'the', 'eaves', 'of', 'a', 'house', 'with'], ['a', 'dog', 'sitting', 'on', 'the', 'roof', 'of', 'a', 'building', 'next', 'to']], 'COCO_val2014_000000010217.jpg': [['a', 'quesadilla', 'wrapped', 'in', 'plastic', 'sitting', 'on', 'top', 'of', 'a', 'table'], ['a', 'plastic', 'bag', 'containing', 'some', 'dough', 'and', 'some', 'crust'], ['lunch', 'sack', 'containing', 'quesadillas', 'and', 'a', 'boiled', 'eff'], ['wrapped', 'up', 'left', 'overs', 'of', 'two', 'fiestas', '', '', '', ''], ['a', 'plastic', 'bag', 'with', 'flat', 'bread', 'and', 'an', 'egg', 'in', 'it']], 'COCO_val2014_000000002295.jpg': [['a', 'cat', 'peering', 'into', 'a', 'wooden', 'bowl', 'which', 'is', 'sitting', 'on'], ['a', 'cat', 'on', 'a', 'wooden', 'surface', 'is', 'looking', 'at', 'a', 'wooden'], ['a', 'cat', 'is', 'looking', 'at', 'an', 'empty', 'bowl', 'on', 'the', 'floor'], ['a', 'cat', 'staring', 'at', 'the', 'bottom', 'of', 'a', 'brown', 'bowl', ''], ['a', 'cat', 'looking', 'inside', 'a', 'wooden', 'bowl', 'for', 'some', 'food']], 'COCO_val2014_000000012543.jpg': [['children', 'in', 'a', 'green', 'field', 'flying', 'a', 'kite'], ['two', 'kids', 'are', 'flying', 'a', 'kite', 'in', 'a', 'field'], ['boy', 'flies', 'a', 'kite', 'with', 'family', 'in', 'the', 'park'], ['a', 'couple', 'of', 'people', 'flying', 'a', 'colorful', 'kite', 'over', 'a', 'lush'], ['a', 'child', 'flies', 'a', 'kite', 'with', 'another', 'child', 'onlooking']], 'COCO_val2014_000000006393.jpg': [['a', 'silver', 'colored', 'necklace', 'with', 'a', 'pair', 'of', 'mini', 'scissors', 'on'], ['woman', 'wearing', 'a', 'necklace', 'with', 'miniature', 'scissors', 'pendant'], ['a', 'woman', 'wearing', 'a', 'necklace', 'with', 'little', 'scissors', 'on', 'it'], ['a', 'person', 'wearing', 'a', 'necklace', 'with', 'a', 'scissors', 'on', 'it'], ['someone', 'wearing', 'a', 'knecklace', 'knecklace', 'knecklace', 'knecklace', 'knecklace', 'knecklace', 'knecklace', 'knecklace']], 'COCO_val2014_000000002881.jpg': [['two', 'men', 'walking', 'through', 'a', 'field', 'next', 'to', 'a', 'large', 'jet'], ['two', 'people', 'walking', 'through', 'a', 'field', 'as', 'a', 'plane', 'lands'], ['people', 'walking', 'down', 'a', 'path', 'as', 'a', 'plane', 'lands', 'on', 'a'], ['two', 'men', 'are', 'standing', 'in', 'a', 'field', 'near', 'a', 'landing', 'strip'], ['two', 'men', 'walking', 'a', 'dog', 'and', 'watching', 'an', 'airplane', 'about', 'to']], 'COCO_val2014_000000012946.jpg': [['people', 'walking', 'around', 'downtown', 'and', 'a', 'man', 'riding', 'his', 'bike'], ['a', 'street', 'scene', 'with', 'people', 'walking', 'and', 'a', 'man', 'on', 'a'], ['a', 'large', 'group', 'of', 'people', 'and', 'a', 'man', 'on', 'a', 'motor'], ['a', 'man', 'riding', 'a', 'scooter', 'down', 'a', 'sidewalk', 'in', 'a', 'green'], ['a', 'man', 'rides', 'a', 'motorcycle', 'on', 'the', 'sidewalk']], 'COCO_val2014_000000000715.jpg': [['a', 'pile', 'of', 'oranges', 'in', 'crates', 'topped', 'with', 'yellow', 'bananas'], ['there', 'are', 'bananas', 'pineapples', 'oranges', 'sandwiches', 'and', 'drinks', 'at', 'the', 'stand'], ['pineapples', 'bananas', 'and', 'oranges', 'are', 'in', 'crates', 'near', 'smoothies'], ['a', 'bunch', 'of', 'different', 'fruits', 'sitting', 'in', 'baskets', 'and', 'on', 'a'], ['smoothies', 'in', 'plastic', 'cups', 'lined', 'up', 'in', 'a', 'glass', 'container', 'and']], 'COCO_val2014_000000000999.jpg': [['a', 'young', 'man', 'kneeling', 'on', 'top', 'of', 'a', 'base'], ['baseball', 'player', 'kneeling', 'on', 'ground', 'near', 'home', 'plate'], ['a', 'man', 'in', 'a', 'baseball', 'uniform', 'resting', 'on', 'his', 'knees', 'on'], ['a', 'baseball', 'player', 'on', 'home', 'plate', 'on', 'his', 'knees'], ['baseball', 'player', 'knealing', 'knealing', 'knealing', 'knealing', 'knealing', 'knealing', 'knealing', 'knealing', 'knealing']], 'COCO_val2014_000000012471.jpg': [['that', 'small', 'plane', 'looks', 'like', 'it', 'is', 'ready', 'for', 'takeoff'], ['a', 'man', 'cleaning', 'a', 'small', 'single', 'engine', 'airplane'], ['an', 'airplane', 'sitting', 'at', 'an', 'airport', 'while', 'a', 'man', 'looks', 'inside'], ['a', 'orange', 'and', 'white', 'cessna', 'airplane', 'parked', 'near', 'a', 'runway'], ['small', 'plane', 'and', 'attendant', 'at', 'airfield', 'on', 'clear', 'day']], 'COCO_val2014_000000001228.jpg': [['a', 'close', 'up', 'of', 'several', 'zebras', 'grazing', 'in', 'a', 'field'], ['a', 'picture', 'of', 'some', 'animals', 'that', 'are', 'eating', 'off', 'of', 'the'], ['a', 'herd', 'of', 'zebra', 'standing', 'behind', 'a', 'wire', 'fence'], ['zebras', 'are', 'in', 'an', 'enclosed', 'area', 'and', 'grazing', 'from', 'the', 'dirt'], ['zebras', 'standing', 'behind', 'the', 'fence', 'in', 'a', 'zoo']], 'COCO_val2014_000000005412.jpg': [['a', 'light', 'brown', 'bathroom', 'with', 'drawers', 'sink', 'and', 'toilet'], ['a', 'beige', 'bathroom', 'stall', 'with', 'a', 'sink', 'and', 'a', 'toilet', 'also'], ['a', 'small', 'but', 'very', 'neatly', 'set', 'up', 'bathroom'], ['a', 'very', 'unique', 'bathroom', 'that', 'is', 'very', 'clean'], ['a', 'modern', 'bathroom', 'with', 'toilet', 'bidet', 'and', 'wash', 'basin']], 'COCO_val2014_000000010386.jpg': [['guy', 'takes', 'a', 'picture', 'with', 'his', 'back', 'to', 'the', 'river', 'and'], ['a', 'man', 'in', 'a', 'suit', 'in', 'front', 'of', 'a', 'pond', 'at'], ['young', 'man', 'standing', 'near', 'a', 'lake', 'with', 'a', 'snow', 'capped', 'mountain'], ['a', 'boy', 'taking', 'a', 'picture', 'in', 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'fly', 'a', 'kite', 'in', 'an', 'open', 'field']], 'COCO_val2014_000000000486.jpg': [['an', 'industrial', 'kitchen', 'with', 'a', 'strainer', 'on', 'the', 'counter'], ['a', 'dirty', 'commercial', 'kitchen', 'with', 'a', 'bowl', 'on', 'the', 'counter'], ['a', 'kitchen', 'with', 'a', 'long', 'wooden', 'counter', 'and', 'a', 'metal', 'pan'], ['a', 'restaurant', 'kitchen', 'provides', 'everything', 'needed', 'to', 'prepare', 'food'], ['an', 'empty', 'commercial', 'kitchen', 'with', 'bowls', 'on', 'the', 'counter', 'and', 'stacks']], 'COCO_val2014_000000003255.jpg': [['a', 'group', 'of', 'people', 'riding', 'skis', 'on', 'a', 'snowy', 'surface'], ['a', 'group', 'of', 'skiers', 'have', 'left', 'a', 'trail', 'through', 'the', 'snow'], ['the', 'paths', 'of', 'some', 'snowboarders', 'carved', 'in', 'a', 'mountain', 'slope'], ['skiers', 'look', 'at', 'the', 'snow', 'that', 'they', 'skied', 'down'], ['a', 'group', 'of', 'people', 'stand', 'at', 'the', 'bottom', 'of', 'a', 'snowy']], 'COCO_val2014_000000007989.jpg': [['a', 'snow', 'boarder', 'riding', 'a', 'ski', 'lift', 'up', 'a', 'snow', 'covered'], ['a', 'skier', 'sitting', 'and', 'riding', 'up', 'the', 'snowy', 'mountain'], ['a', 'person', 'sits', 'on', 'a', 'ski', 'lift', 'in', 'a', 'snowy', 'forest'], ['skiers', 'look', 'downward', 'as', 'they', 'ride', 'a', 'ski', 'lift', 'up', 'the'], ['someone', 'riding', 'a', 'ski', 'lift', 'wearing', 'a', 'snowboard']], 'COCO_val2014_000000002240.jpg': [['a', 'pile', 'of', 'teddy', 'bears', 'and', 'dolls', 'in', 'a', 'toy', 'box'], ['three', 'teddy', 'bears', 'and', 'a', 'doll', 'like', 'next', 'to', 'each', 'other'], ['a', 'group', 'of', 'stuffed', 'toys', 'are', 'placed', 'together'], ['teddy', 'bears', 'and', 'dolls', 'laying', 'down', 'on', 'a', 'bench'], ['a', 'group', 'of', 'cute', 'stuffed', 'animals', 'in', 'a', 'bed']], 'COCO_val2014_000000010825.jpg': [['a', 'woman', 'sitting', 'in', 'a', 'car', 'holding', 'a', 'smart', 'phone'], ['a', 'young', 'girl', 'texting', '', '', '', '', '', '', ''], ['a', 'girl', 'checks', 'her', 'phone', 'in', 'a', 'vehicle', 'inside', 'a', 'parking'], ['girl', 'texting', 'on', 'a', 'cell', 'phone', 'in', 'a', 'parking', 'lot'], ['a', 'female', 'on', 'a', 'cell', 'phone', 'in', 'a', 'car', '', '']], 'COCO_val2014_000000010219.jpg': [['a', 'white', 'dog', 'laying', 'in', 'the', 'grass', 'next', 'to', 'a', 'red'], ['a', 'white', 'dog', 'laying', 'on', 'the', 'grass', 'with', 'a', 'red', 'frisbee'], ['a', 'dog', 'sits', 'on', 'the', 'grass', 'with', 'its', 'frisbee'], ['a', 'dog', 'laying', 'in', 'leaves', 'with', 'his', 'frisbee'], ['a', 'dog', 'sitting', 'by', 'a', 'fence', 'with', 'a', 'flying', 'disc']], 'COCO_val2014_000000011925.jpg': [['two', 'trays', 'hold', 'fruit', 'vegetables', 'cheese', 'and', 'cookies'], ['two', 'blue', 'boxes', 'full', 'of', 'different', 'types', 'of', 'food'], ['a', 'very', 'tasty', 'looking', 'bento', 'lunch', 'sitting', 'on', 'a', 'table'], ['two', 'containers', 'with', 'different', 'types', 'of', 'food', 'in', 'them'], ['tupperware', 'full', 'of', 'vegetables', 'cheese', 'and', 'dried', 'fruit']], 'COCO_val2014_000000002562.jpg': [['a', 'man', 'hitting', 'a', 'tennis', 'ball', 'with', 'a', 'racquet'], ['champion', 'tennis', 'player', 'swats', 'at', 'the', 'ball', 'hoping', 'to', 'win'], ['a', 'man', 'is', 'hitting', 'his', 'tennis', 'ball', 'with', 'a', 'recket', 'recket'], ['a', 'tennis', 'player', 'on', 'a', 'court', 'with', 'a', 'racket'], ['a', 'professional', 'tennis', 'player', 'hits', 'a', 'ball', 'as', 'fans', 'watch']], 'COCO_val2014_000000004731.jpg': [['a', 'man', 'holding', 'a', 'baby', 'up', 'in', 'a', 'kitchen'], ['a', 'man', 'is', 'holding', 'up', 'a', 'baby', 'while', 'he', 'is', 'in'], ['a', 'person', 'holding', 'a', 'baby', 'while', 'standing', 'in', 'a', 'kitchen'], ['a', 'broad', 'panorama', 'of', 'several', 'people', 'getting', 'together', '', '', ''], ['there', 'is', 'a', 'man', 'holding', 'up', 'a', 'baby', 'in', 'the', 'kitchen']], 'COCO_val2014_000000000776.jpg': [['three', 'teddy', 'bears', 'each', 'a', 'different', 'color', 'snuggling', 'together'], ['three', 'stuffed', 'animals', 'are', 'sitting', 'on', 'a', 'bed', '', '', ''], ['three', 'teddy', 'bears', 'giving', 'each', 'other', 'a', 'hug'], ['a', 'group', 'of', 'three', 'stuffed', 'animal', 'teddy', 'bears'], ['three', 'stuffed', 'bears', 'hugging', 'and', 'sitting', 'on', 'a', 'blue', 'pillow']], 'COCO_val2014_000000010428.jpg': [['a', 'sink', 'is', 'shown', 'in', 'front', 'of', 'a', 'frame', 'covered', 'wall'], ['a', 'metal', 'sink', 'and', 'a', 'mirror', 'in', 'a', 'room'], ['the', 'walls', 'near', 'the', 'sink', 'are', 'covered', 'with', 'framed', 'photos'], ['a', 'sink', 'and', 'a', 'mirror', 'reflecting', 'the', 'many', 'pictures', 'on', 'the'], ['a', 'bathroom', 'sink', 'with', 'a', 'mirror', 'above', 'it', 'and', 'the', 'walls']], 'COCO_val2014_000000013473.jpg': [['the', 'man', 'in', 'the', 'brown', 'suit', 'is', 'holding', 'a', 'coffee', 'mug'], ['the', 'man', 'is', 'covering', 'his', 'face', 'with', 'the', 'mug'], ['a', 'young', 'professional', 'man', 'holding', 'a', 'mug', 'to', 'keep', 'himself', 'hidden'], ['a', 'person', 'holds', 'a', 'cup', 'of', 'coffee', 'in', 'front', 'of', 'their'], ['a', 'man', 'holding', 'up', 'a', '', '', '', '', '', '']], 'COCO_val2014_000000013168.jpg': [['the', 'high', 'speed', 'passenger', 'train', 'is', 'bound', 'for', 'new', 'york'], ['the', 'sub', 'way', 'train', 'is', 'going', 'fast', 'up', 'the', 'tracks'], ['a', 'silver', 'train', 'on', 'train', 'station', 'next', 'to', 'signage'], ['a', 'train', 'station', 'with', 'a', 'train', 'moving', 'down', 'the', 'tracks', ''], ['an', 'abstract', 'photograph', 'of', 'a', 'moving', 'train', 'on', 'its', 'way', 'to']], 'COCO_val2014_000000005352.jpg': [['a', 'piece', 'of', 'pizza', 'that', 'is', 'on', 'a', 'plate'], ['a', 'slice', 'of', 'pizza', 'on', 'a', 'plate', 'with', 'a', 'glass', 'of'], ['a', 'piece', 'of', 'pizza', 'sitting', 'on', 'top', 'of', 'a', 'blue', 'plate'], ['there', 'is', 'a', 'small', 'slice', 'of', 'pizza', 'on', 'a', 'green', 'plate'], ['a', 'close', 'up', 'of', 'a', 'piece', 'of', 'pizza', 'and', 'a', 'glass']], 'COCO_val2014_000000004187.jpg': [['a', 'tennis', 'player', 'prepares', 'to', 'hit', 'the', 'tennis', 'ball'], ['a', 'man', 'holding', 'a', 'tennis', 'racquet', 'in', 'front', 'of', 'a', 'tennis'], ['a', 'picture', 'of', 'a', 'tennis', 'player', 'about', 'to', 'hit', 'a', 'ball'], ['a', 'tennis', 'player', 'is', 'swinging', 'at', 'a', 'tennis', 'ball'], ['a', 'man', 'is', 'playing', 'tennis', 'and', 'has', 'a', 'funny', 'face', 'while']], 'COCO_val2014_000000011081.jpg': [['an', 'experimental', 'airplane', 'flying', 'through', 'a', '', '', '', '', ''], ['an', 'image', 'of', 'a', 'plane', 'in', 'the', 'air', 'amongst', 'the', 'clouds'], ['there', 'is', 'a', 'plane', 'turning', 'in', 'mid', 'air'], ['an', 'airplane', 'flies', 'in', 'a', 'cloudy', 'sky', 'as', 'a', 'backdrop'], ['a', 'military', 'jet', 'flying', 'overhead', 'in', 'the', 'sky']], 'COCO_val2014_000000003091.jpg': [['a', 'white', 'plate', 'topped', 'with', 'a', 'piece', 'of', 'chocolate', 'covered', 'cake'], ['a', 'large', 'piece', 'of', 'cake', 'drizzled', 'with', 'a', 'lot', 'of', 'sauce'], ['on', 'a', 'plate', 'sits', 'a', 'large', 'piece', 'of', 'cake', 'covered', 'in'], ['some', 'silverware', 'and', 'a', 'piece', 'of', 'cake', 'with', 'chocolate', 'on', 'top'], ['a', 'person', 'holding', 'a', 'spoon', 'along', 'with', 'a', 'fork', 'pointing', 'at']], 'COCO_val2014_000000001369.jpg': [['a', 'man', 'in', 'a', 'wetsuit', 'with', 'a', 'surfboard', 'standing', 'on', 'a'], ['this', 'is', 'an', 'image', 'of', 'a', 'man', 'with', 'a', 'surfboard', 'looking'], ['rear', 'view', 'of', 'surfboard', 'holding', 'man', 'standing', 'on', 'beach'], ['a', 'person', 'with', 'a', 'surfboard', 'stands', 'at', 'the', 'water'], ['a', 'man', 'is', 'holding', 'a', 'surfboard', 'and', 'staring', 'out', 'into', 'the']], 'COCO_val2014_000000001244.jpg': [['', '', '', '', '', '', '', '', '', '', ''], ['a', 'person', 'sitting', 'on', 'a', 'chair', 'over', 'a', 'body', 'of', 'water'], ['a', 'man', 'sitting', 'under', 'a', 'sun', 'umbrella', 'by', 'an', 'industrial', 'port'], ['the', 'man', 'is', 'sitting', 'on', 'a', 'chair', 'under', 'the', 'umbrella', 'by'], ['a', 'man', 'sitting', 'in', 'a', 'chair', 'under', 'an', 'umbrella', 'by', 'a']], 'COCO_val2014_000000011305.jpg': [['a', 'living', 'area', 'with', 'tables', 'a', 'sofa', 'and', 'multiple', 'windows'], ['a', 'table', 'sitting', 'inside', 'of', 'a', 'room', 'next', 'to', 'a', 'window'], ['a', 'room', 'wit', 'ha', 'table', 'some', 'mats', 'to', 'sit', 'on', 'and'], ['a', 'short', 'table', 'with', 'cushions', 'surrounding', 'it', 'in', 'a', 'log', 'cabin'], ['a', 'living', 'room', 'with', 'a', 'couch', 'and', 'two', 'low', 'wooden', 'tables']], 'COCO_val2014_000000008045.jpg': [['tub', 'and', 'shower', 'on', 'platform', 'in', 'modern', 'tiled', 'bathroom'], ['a', 'bathroom', 'with', 'a', 'shower', 'combination', 'tub', 'and', 'sink'], ['a', '', '', '', '', '', '', '', '', '', ''], ['a', 'modernized', 'full', 'bathroom', 'with', 'several', 'small', 'leds'], ['a', 'bathroom', 'with', 'a', 'sink', 'and', 'a', 'tub', 'and', 'a', 'minimal']], 'COCO_val2014_000000001103.jpg': [['a', 'lot', 'if', 'birds', 'are', 'standing', 'at', 'the', 'beach', 'shore'], ['a', 'black', 'and', 'white', 'photo', 'of', 'birds', 'walking', 'on', 'the', 'beach'], ['a', 'flock', 'of', 'birds', 'walking', 'down', 'the', 'beach', '', '', ''], ['delicate', 'birds', 'walking', 'on', 'sand', 'near', 'the', 'ocean'], ['small', 'birds', 'are', 'walking', 'along', 'the', 'waters', 'edge']], 'COCO_val2014_000000007386.jpg': [['a', 'small', 'motor', 'bike', 'outside', 'of', 'the', 'garage'], ['a', 'tricycle', 'sits', 'outside', 'of', 'a', 'garage', '', '', '', ''], ['a', 'motorcycle', 'parked', 'in', 'front', 'of', 'an', 'open', 'garage'], ['a', 'home', 'made', 'three', 'wheeled', 'trike', 'sitting', 'in', 'a', 'driveway'], ['a', 'motorcycle', 'frame', 'that', 'has', 'been', 'made', 'in', 'to', 'a', 'tricycle']], 'COCO_val2014_000000011625.jpg': [['a', 'woman', 'about', 'to', 'catch', 'a', 'frisbee', 'on', 'a', 'beach'], ['a', 'girl', 'on', 'a', 'beach', 'playing', 'with', 'a', 'frisbee'], ['the', 'woman', 'is', 'playing', 'frisbee', 'on', 'the', 'beach', 'by', 'the', 'water'], ['a', 'girl', 'looking', 'up', 'at', 'a', 'freeze', 'be', 'next', 'to', 'a'], ['a', 'woman', 'standing', 'on', 'a', 'beach', 'trying', 'to', 'catch', 'a', 'frisbee']], 'COCO_val2014_000000008803.jpg': [['a', 'man', 'in', 'costume', 'standing', 'next', 'to', 'a', 'building'], ['he', 'is', 'dressed', 'in', 'the', 'times', 'that', 'his', 'tours', 'encompass'], ['a', 'man', 'dressed', 'like', 'a', 'colonial', 'in', 'the', 'middle', 'of', 'the'], ['a', 'man', 'in', 'a', 'revolutionary', 'era', 'costume', 'talks', 'on', 'a', 'cellphone'], ['a', 'man', 'dressed', 'in', 'a', 'costume', 'talking', 'on', 'a', 'cell', 'phone']], 'COCO_val2014_000000003326.jpg': [['a', 'couple', 'paddling', 'in', 'a', 'canoe', 'on', 'a', 'river'], ['a', 'man', 'and', 'a', 'woman', 'rowing', 'a', 'boat', 'through', 'the', 'water'], ['two', 'people', 'are', 'on', 'a', 'canoe', 'on', 'the', 'water'], ['a', 'woman', 'riding', 'on', 'the', 'back', 'of', 'a', 'boat', 'with', 'a'], ['two', 'people', 'row', 'a', 'boat', 'in', 'a', 'river']], 'COCO_val2014_000000004620.jpg': [['a', 'close', 'up', 'photo', 'of', 'parking', 'meter', 'on', 'a', 'street', ''], ['two', 'parking', 'meters', 'are', 'on', 'top', 'of', 'a', 'pole'], ['a', 'parking', 'meter', 'sits', 'beside', 'a', 'street', 'intersection', 'where', 'cars', 'are'], ['a', 'parking', 'meter', 'with', 'two', 'meters', 'and', 'both', 'have', 'some', 'time'], ['parking', 'meters', 'with', 'approximately', '40', 'minutes', 'left', 'on', 'them']], 'COCO_val2014_000000005388.jpg': [['a', 'field', 'full', 'of', 'players', 'in', 'action', 'in', 'a', 'baseball', 'game'], ['a', 'baseball', 'game', 'taking', 'place', 'at', 'night', 'with', 'players'], ['a', 'player', 'is', 'at', 'bat', 'in', 'a', 'baseball', 'stadium'], ['a', 'baseball', 'pitcher', 'winding', 'up', 'to', 'throw', 'the', 'ball'], ['a', 'full', 'view', 'of', 'a', 'baseball', 'game', 'with', 'many', 'people']], 'COCO_val2014_000000009628.jpg': [['a', 'man', 'riding', 'a', 'board', 'over', 'the', 'top', 'of', 'a', 'wave'], ['a', 'person', 'being', 'pulled', 'on', 'a', 'surf', 'board', '', '', ''], ['a', 'man', 'is', 'in', 'the', 'air', 'while', 'sitting', 'on', 'a', 'surf'], ['a', 'man', 'using', 'a', 'hydrofoil', 'wake', 'board', 'being', 'pulled', 'behind', 'a'], ['a', 'man', 'flying', 'through', 'the', 'air', 'over', 'the', 'water', 'on', 'a']], 'COCO_val2014_000000011316.jpg': [['man', 'standing', 'in', 'front', 'of', 'the', 'ocean', 'in', 'a', 'wet', 'suit'], ['a', 'man', 'is', 'standing', 'on', 'the', 'beach', 'with', 'a', 'surfboard'], ['a', 'young', 'man', 'holding', 'a', 'surfboard', 'on', 'a', 'beach', 'next', 'to'], ['a', 'man', 'on', 'a', 'beach', 'holding', 'a', 'surfboard'], ['a', 'man', 'on', 'a', 'beach', 'holding', 'a', 'surfboard', '', '', '']], 'COCO_val2014_000000003779.jpg': [['a', 'table', 'topped', 'with', 'six', 'glasses', 'of', 'booze'], ['there', 'are', 'a', 'lot', 'of', 'wine', 'glasses', 'on', 'the', 'table', ''], ['several', 'glasses', 'of', 'wine', 'are', 'presented', 'on', 'a', 'red', 'mat'], ['a', 'table', 'is', 'full', 'of', 'wine', 'glasses', 'that', 'have', 'some', 'wine'], ['several', 'wine', 'glasses', 'placed', 'on', 'a', 'glass', 'table', 'filled', 'with', 'different']], 'COCO_val2014_000000008599.jpg': [['three', 'people', 'are', 'moving', 'a', 'cart', 'of', 'luggage'], ['one', 'man', 'pulling', 'and', 'the', 'other', 'man', 'pushing', 'a', 'wagon', 'filled'], ['two', 'men', 'push', 'and', 'pull', 'a', 'metal', 'cart', 'loaded', 'with', 'luggage'], ['two', 'men', 'pushing', 'and', 'pulling', 'a', 'cart', 'with', 'luggage', 'on', 'an'], ['a', 'man', 'wearing', 'a', 'backpack', 'is', 'helping', 'another', 'man', 'push', 'a']], 'COCO_val2014_000000011390.jpg': [['the', 'two', 'teddy', 'bears', 'are', 'posed', 'together', 'to', 'take', 'a', 'photo'], ['two', 'teddy', 'bears', 'are', 'against', 'a', 'black', 'background'], ['teddy', 'bears', 'seemingly', 'hug', 'one', 'another', 'against', 'a', 'dark', 'background'], ['a', 'couple', 'of', 'teddy', 'bears', 'laying', 'next', 'to', 'one', 'in', 'other'], ['two', 'brown', 'teddy', 'bears', 'standing', 'next', 'to', 'each', 'other']], 'COCO_val2014_000000009927.jpg': [['the', 'two', 'men', 'are', 'looking', 'at', 'the', 'upright', 'surfboard', '', ''], ['a', 'person', 'holding', 'a', 'surfboard', 'and', 'a', 'man', 'standing', 'next', 'to'], ['these', 'people', 'are', 'looking', 'at', 'a', 'wood', 'surf', 'board'], ['two', 'men', 'are', 'looking', 'at', 'a', 'white', 'surfboard'], ['two', 'men', 'talk', 'about', 'a', 'yellow', 'surf', 'board', '', '', '']], 'COCO_val2014_000000006688.jpg': [['a', 'zebra', 'looking', 'up', 'as', 'another', 'grazes', 'in', 'a', 'field'], ['two', \"zebra's\", 'standing', 'in', 'a', 'grassy', 'field', 'and', 'one', 'is', 'eating'], ['the', 'zebras', 'are', 'grazing', 'out', 'in', 'the', 'field', 'of', 'grass', ''], ['a', 'group', 'of', 'zebras', 'stand', 'together', 'in', 'a', 'field'], ['several', 'zebras', 'eating', 'grass', 'in', 'a', 'wildlife', 'park']], 'COCO_val2014_000000000459.jpg': [['a', 'man', 'holding', 'a', 'camera', 'up', 'over', 'his', 'left', 'shoulder'], ['a', 'man', 'with', 'a', 'blazer', 'holding', 'a', 'camera'], ['a', 'man', 'in', 'a', 'suit', 'snaps', 'a', 'mirror', 'selfie', 'selfie', 'selfie'], ['a', 'man', 'in', 'a', 'suit', 'taking', 'a', 'picture', 'of', 'himself', 'with'], ['a', 'man', 'wearing', 'a', 'suit', 'is', 'taking', 'a', 'self', 'portrait', 'with']]}\n"
     ]
    }
   ],
   "source": [
    "valid_fname_caption_map = {}\n",
    "for fn in test_image_filenames:\n",
    "    valid_fname_caption_map[os.path.split(fn)[1]] = [] \n",
    "    \n",
    "for fn,c in valid_fname_caption_numeric_tuples:\n",
    "    caption_w_list = []\n",
    "    for w_id in c:\n",
    "        if not (reverse_dictionary[w_id]=='SOS' or reverse_dictionary[w_id]=='EOS'):\n",
    "            caption_w_list.append(reverse_dictionary[w_id])\n",
    "    valid_fname_caption_map[fn].append(caption_w_list)\n",
    "\n",
    "print(valid_fname_caption_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating Batches of Data\n",
    "The following object generates a batch of data which will be used to train the LSTM. More specifically the generator breaks the batch generation to two tasks. It will either output image feature vector followed by a sequence of words, or it can output just a sequence of words. First it decomposes a given sequence of words into `batch_size` segments. We also maintain a cursor for each segment. So whenever we create a batch of data, we sample one item from each segment and update the cursor of each segment. Here:\n",
    "\n",
    "* `batch_data`: A `[batch_size,input_size]` array that contains image feature vector or words. If it contains words, word IDs will be in the first column and will be padded zeros to make each row `input_size` long.\n",
    "* `batch_labels`: One hot encoded representation of words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Unrolled index 0\n",
      "\tInputs:\n",
      "\t[-5.25316   -1.9451786 -2.8510392 -2.1619089 -0.7653859], \t[-0.5736368  -3.0677907   6.0366945   0.01593766  2.8579597 ], \t[-3.739019   -0.8608974  -1.9272035  -0.32741022 -0.19843721], \t[-2.7862813  3.6620226 -3.2841046 -5.858438  -5.741728 ], \t[-3.5580664 -3.5335622 -1.8530213 -3.2802074 -0.6190071], \n",
      "\tOutput:\n",
      "\t0, \t0, \t0, \t0, \t0, \n",
      "\n",
      "Unrolled index 1\n",
      "\tInputs:\n",
      "\t[0. 0. 0. 0. 0.], \t[0. 0. 0. 0. 0.], \t[0. 0. 0. 0. 0.], \t[0. 0. 0. 0. 0.], \t[0. 0. 0. 0. 0.], \n",
      "\tOutput:\n",
      "\t0, \t0, \t0, \t0, \t0, \n",
      "\n",
      "Unrolled index 2\n",
      "\tInputs:\n",
      "\t[5284.    0.    0.    0.    0.], \t[5284.    0.    0.    0.    0.], \t[17393.     0.     0.     0.     0.], \t[5284.    0.    0.    0.    0.], \t[17453.     0.     0.     0.     0.], \n",
      "\tOutput:\n",
      "\t0, \t0, \t0, \t0, \t0, \n",
      "\n",
      "Unrolled index 3\n",
      "\tInputs:\n",
      "\t[12369.     0.     0.     0.     0.], \t[12742.     0.     0.     0.     0.], \t[1029.    0.    0.    0.    0.], \t[2791.    0.    0.    0.    0.], \t[13260.     0.     0.     0.     0.], \n",
      "\tOutput:\n",
      "\t0, \t0, \t0, \t0, \t0, \n",
      "\n",
      "Unrolled index 4\n",
      "\tInputs:\n",
      "\t[15423.     0.     0.     0.     0.], \t[11497.     0.     0.     0.     0.], \t[4996.    0.    0.    0.    0.], \t[15423.     0.     0.     0.     0.], \t[5284.    0.    0.    0.    0.], \n",
      "\tOutput:\n",
      "\t0, \t0, \t0, \t0, \t0, "
     ]
    }
   ],
   "source": [
    "input_size = 1000\n",
    "tot_captions = len(train_fname_caption_numeric_tuples)\n",
    "\n",
    "class DataGeneratorSeq(object):\n",
    "    \n",
    "    def __init__(self,batch_size,num_unroll,cap_length,image_vector_file,is_train):\n",
    "        # The size of a single batch of data\n",
    "        self._batch_size = batch_size\n",
    "        # Number of unrolling steps to perform\n",
    "        # To make sure we process all the words in the sequence\n",
    "        # We make this a factorial of the max_caption_length\n",
    "        self._num_unroll = num_unroll\n",
    "        # Caption length (= max_caption_length)\n",
    "        self._cap_length = cap_length\n",
    "        # Cursors for each segment\n",
    "        self._cursor = [0 for offset in range(self._batch_size)]\n",
    "        \n",
    "        # Load the image feature vectors\n",
    "        self._image_data = json.load(open(image_vector_file))\n",
    "        \n",
    "        # Batch of cap IDs being processed at a given time\n",
    "        self._cap_ids = None\n",
    "        # Check if we are processing training data or validation data\n",
    "        self._is_train = is_train\n",
    "        \n",
    "    def next_batch(self,cap_ids,first_sample):\n",
    "        '''\n",
    "        Produces a single batch of data\n",
    "        '''\n",
    "        # Holds the inputs and outputs to the network\n",
    "        batch_data = np.zeros((self._batch_size,input_size),dtype=np.float32) \n",
    "        batch_labels = np.zeros((self._batch_size),dtype=np.int32)\n",
    "        \n",
    "        # Populate each index withing the batch\n",
    "        for b in range(self._batch_size):\n",
    "            cap_id = cap_ids[b] # Caption id corresponding to that position\n",
    "            \n",
    "            # If it's training data, get data from training data related variables\n",
    "            if self._is_train:\n",
    "                cap_image_vec = self._image_data[train_fname_caption_numeric_tuples[cap_id][0]]\n",
    "                cap_text = train_fname_caption_numeric_tuples[cap_id][1]\n",
    "            # If it's testing data, get data from testing data related variables\n",
    "            else:\n",
    "                cap_image_vec = self._image_data[valid_fname_caption_numeric_tuples[cap_id][0]]\n",
    "                cap_text = valid_fname_caption_numeric_tuples[cap_id][1]\n",
    "            \n",
    "            # If the cursor exceeds the caption length, reset it\n",
    "            if self._cursor[b]+1>=self._cap_length:\n",
    "                self._cursor[b] = 0\n",
    "            \n",
    "            # If first sample the first input should be the image feature vector\n",
    "            if first_sample:\n",
    "                batch_data[b] = cap_image_vec\n",
    "                batch_labels[b] = cap_text[0]\n",
    "            # Else it should be just current word as input and the following word as the output\n",
    "            else:\n",
    "                # We are going to append 999 zeros to the end of the caption word index\n",
    "                # this way we can have all inputs same size\n",
    "                # and when processing through tensorflow we use tf.reduce_sum to get the indices\n",
    "                batch_data[b] = np.array([cap_text[self._cursor[b]]]+[0 for _ in range(input_size-1)])\n",
    "                batch_labels[b] = cap_text[self._cursor[b]+1]\n",
    "                \n",
    "                # Increment the cursor\n",
    "                self._cursor[b] = (self._cursor[b]+1)%self._cap_length\n",
    "\n",
    "        return batch_data,batch_labels\n",
    "        \n",
    "    def unroll_batches(self,first_set):\n",
    "        '''\n",
    "        Unroll a set of batches over time\n",
    "        '''\n",
    "        \n",
    "        # This is to select a random set of captions at the beginning of unrolling\n",
    "        # if first_set variable is True\n",
    "        if first_set:\n",
    "            self._cap_ids = np.random.randint(0,tot_captions,self._batch_size)\n",
    "            self._cursor = [0 for _ in range(self._batch_size)]\n",
    "            \n",
    "        unroll_data,unroll_labels = [],[]\n",
    "        for ui in range(self._num_unroll):\n",
    "            # The first batch in any batch of captions is different\n",
    "            if first_set and ui==0:\n",
    "                data, labels = self.next_batch(self._cap_ids,True)            \n",
    "            else:\n",
    "                data, labels = self.next_batch(self._cap_ids,False)  \n",
    "\n",
    "            unroll_data.append(data)\n",
    "            unroll_labels.append(labels)\n",
    "        \n",
    "        return unroll_data, unroll_labels\n",
    "    \n",
    "    def reset_indices(self):\n",
    "        self._cursor = [0 for offset in range(self._batch_size)]\n",
    "        \n",
    "# Running a tiny set to see if the implementation correct\n",
    "dg = DataGeneratorSeq(\n",
    "    batch_size=5,num_unroll=5,cap_length=12,\n",
    "    image_vector_file=os.path.join('image_caption_data',*('train_valid','image_encodings','train_image_encodings.json')),\n",
    "    is_train=True\n",
    "                     )\n",
    "u_data, u_labels = dg.unroll_batches(True)\n",
    "\n",
    "for ui,(dat,lbl) in enumerate(zip(u_data,u_labels)):   \n",
    "    print('\\n\\nUnrolled index %d'%ui)\n",
    "    dat_ind = dat\n",
    "    lbl_ind = lbl\n",
    "    print('\\tInputs:')\n",
    "    for single_dat in dat_ind:\n",
    "        print('\\t%s'%(single_dat[:5]),end=\", \")\n",
    "    print('\\n\\tOutput:')\n",
    "    for single_lbl in lbl_ind:        \n",
    "        print('\\t%s'%(np.argmax(single_lbl)),end=\", \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining hyperparameters\n",
    "\n",
    "Here we define several hyperparameters such as `batch_size`, `input_size`, ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "input_size = 1000\n",
    "\n",
    "# Length of the caption, as well as,\n",
    "# Maximum number of input output tuples \n",
    "# that can be created from a single sequence of data\n",
    "sequence_length = 12\n",
    "\n",
    "# Number of neurons in the LSTM Cell\n",
    "num_nodes = 256\n",
    "# Batch size\n",
    "batch_size = 50\n",
    "# Unrolling steps\n",
    "num_unrollings = 6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining Inputs and Outputs\n",
    "\n",
    "In the code we define two different types of inputs. \n",
    "* Training inputs (batch_size > 1 with unrolling) \n",
    "* Validation/Test inputs (An unseen validation dataset) (bach_size > 1, no unrolling)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tf.reset_default_graph()\n",
    "\n",
    "# Training data\n",
    "is_train_text, train_inputs, train_labels = [],[],[]\n",
    "\n",
    "for ui in range(num_unrollings):\n",
    "    is_train_text.append(tf.placeholder(tf.bool, shape=None, name='is_train_text_data_%d'%ui))\n",
    "    train_inputs.append(tf.placeholder(tf.float32, shape=[batch_size,input_size],name='train_inputs_%d'%ui))\n",
    "    train_labels.append(tf.placeholder(tf.int32, shape=[batch_size], name = 'train_labels_%d'%ui))\n",
    "    \n",
    "# Testing: Given an image generate the text.\n",
    "test_is_train_text = tf.placeholder(tf.bool, shape=None,name='is_test_text_data')\n",
    "test_input = tf.placeholder(tf.float32, shape=[batch_size,input_size],name='test_input')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining Model Parameters\n",
    "\n",
    "Now we define model parameters. Compared to RNNs, LSTMs have a large number of parameters. We define an LSTM cell using the TensorFlow RNN API here. Specifically we define the following parameters:\n",
    "\n",
    "* The pretrained embeddings as a variable\n",
    "* An linear layer to get embeddings that matches the size of the feature vectors\n",
    "* A softmax layer to get the predictions out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# We are loading the pretrained embeddings\n",
    "with tf.variable_scope('embeddings'):\n",
    "    embeddings = tf.get_variable(\n",
    "        'glove_embeddings',shape=[vocabulary_size, 50], initializer=tf.constant_initializer(pret_embeddings,dtype=tf.float32)\n",
    "    )\n",
    "\n",
    "    # We need to match the size of the input to the LSTM to be same as input_size always\n",
    "    # For that we use a dense layer that will take the input of size 50 and produce inputs of size 1000 (input size)\n",
    "    embedding_dense = tf.get_variable('embedding_dense',shape=[50,1000],\n",
    "                                      dtype=tf.float32,initializer=tf.contrib.layers.xavier_initializer())\n",
    "    embedding_bias = tf.get_variable('embedding_bias',\n",
    "                                     dtype=tf.float32,\n",
    "                                     initializer=tf.random_uniform(shape=[1000],minval=-0.1,maxval=0.1))\n",
    "\n",
    "# LSTM cell and Dropout Cell\n",
    "with tf.variable_scope('rnn'):\n",
    "    lstm = tf.nn.rnn_cell.LSTMCell(num_nodes)\n",
    "    # We use dropout to improve the performance\n",
    "    dropout_lstm = rnn.DropoutWrapper(\n",
    "        cell=lstm, input_keep_prob=0.8,\n",
    "        output_keep_prob=0.8, state_keep_prob=1.0,\n",
    "        dtype=tf.float32\n",
    "    )\n",
    "\n",
    "# Defining the softmax weights and biases\n",
    "with tf.variable_scope('rnn'):    \n",
    "    w = tf.Variable(tf.truncated_normal([num_nodes, vocabulary_size], stddev=0.01),name='softmax_weights',trainable=True)\n",
    "    b = tf.Variable(tf.random_uniform([vocabulary_size],0.0,0.01),name='softmax_bias',trainable=True)\n",
    "\n",
    "# Unlike the training state, we would like more control over the testing\n",
    "# state, so we externally define that\n",
    "saved_test_output = tf.Variable(tf.zeros([batch_size, num_nodes]))\n",
    "saved_test_state = tf.Variable(tf.zeros([batch_size, num_nodes]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining LSTM computations\n",
    "Here we define inference logic for the parameters we defined above. Compared to the other exercise, we also have an automatic way of processing inputs differently depending on whether we are processing images or text at the moment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is where we check if we are processing images or text\n",
    "# Because depending on which we're processing we have to do different things\n",
    "# For images: We just process them as they are\n",
    "# For text: For the given word ids, we need to look up the embeddings\n",
    "# and send it through the linear layer\n",
    "train_inputs_processed = []\n",
    "for ui in range(num_unrollings):\n",
    "    \n",
    "    train_inputs_processed.append(\n",
    "        tf.cond(is_train_text[ui],\n",
    "                lambda: tf.add(\n",
    "                    tf.matmul(tf.nn.embedding_lookup(\n",
    "                        embeddings, tf.reduce_sum(tf.cast(train_inputs[ui],tf.int32),axis=1)\n",
    "                    ),embedding_dense),embedding_bias),                \n",
    "                lambda: tf.identity(train_inputs[ui]))\n",
    "    )\n",
    "\n",
    "# Define Initial State\n",
    "initial_state = lstm.zero_state(batch_size, dtype=tf.float32)\n",
    "\n",
    "# Setting shape for the processed inputs because the shape information is lost \n",
    "# when passing through tf.cond\n",
    "# But is essential for tf.nn.dynamic_rnn\n",
    "[t_in.set_shape([batch_size,input_size]) for t_in in train_inputs_processed]\n",
    "\n",
    "# Gives a [num_unrolling, batch_size, num_nodes] size output\n",
    "train_outputs, initial_state = tf.nn.dynamic_rnn(\n",
    "    dropout_lstm, tf.concat([tf.expand_dims(t_in,axis=0) for t_in in train_inputs_processed],axis=0), \n",
    "    time_major=True, initial_state=initial_state\n",
    ")\n",
    "\n",
    "# Calculate the final output logits for all unrolled steps\n",
    "final_output = tf.reshape(train_outputs,[-1,num_nodes])\n",
    "logits = tf.matmul(final_output, w) + b\n",
    "\n",
    "# Predictions.\n",
    "train_prediction = tf.nn.softmax(logits)\n",
    "\n",
    "# Get time majorly reshaped logits (to define loss)\n",
    "time_major_train_logits = tf.reshape(logits,[num_unrollings,batch_size,vocabulary_size])\n",
    "\n",
    "# Get time majoryly reshaped labels (to define loss)\n",
    "time_major_train_labels = tf.reshape(tf.concat(train_labels,axis=0),[num_unrollings,batch_size])\n",
    "\n",
    "# ===========================================================\n",
    "# Test inference logic\n",
    "\n",
    "# Process test inputs\n",
    "test_inputs_processed = \\\n",
    "        tf.cond(test_is_train_text,\n",
    "                lambda: tf.add(\n",
    "                    tf.matmul(tf.nn.embedding_lookup(\n",
    "                        embeddings, tf.reduce_sum(tf.cast(test_input,tf.int32),axis=1)\n",
    "                    ),embedding_dense),embedding_bias),                \n",
    "                lambda: tf.identity(test_input))\n",
    "\n",
    "# Computing the LSTM output\n",
    "test_initial_state = (saved_test_output,saved_test_state)\n",
    "test_output, test_initial_state = lstm(test_inputs_processed, test_initial_state)\n",
    "\n",
    "# Making sure the states are saved before making predictions\n",
    "with tf.control_dependencies([saved_test_output.assign(test_initial_state[0]),\n",
    "                                saved_test_state.assign(test_initial_state[1])]):\n",
    "    # Test prediction\n",
    "    test_prediction = tf.nn.softmax(tf.nn.xw_plus_b(test_output, w, b))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining the Loss\n",
    "We define the loss of the model as a sequence-to-sequence loss. TensorFlow provides a builtin function to compute this loss as shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# We compute [num_unrollings] size loss vector denoting\n",
    "# the mean loss for each of the batch in the num_unrollings steps\n",
    "loss = tf.contrib.seq2seq.sequence_loss(\n",
    "    logits = tf.transpose(time_major_train_logits,[1,0,2]),\n",
    "    targets = tf.transpose(time_major_train_labels),\n",
    "    weights= tf.ones([batch_size, num_unrollings], dtype=tf.float32),\n",
    "    average_across_timesteps=False,\n",
    "    average_across_batch=True\n",
    ")\n",
    "\n",
    "# Here we compute the loss over the time axis and sum each component\n",
    "# We sum the num_unrollings losses across all the unrolled time steps\n",
    "loss = tf.reduce_sum(loss)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Defining Learning Rate and the Optimizer with Gradient Clipping\n",
    "Here we define the learning rate and the optimizer we're going to use. We will be using the Adam optimizer as it is one of the best optimizers out there. Furthermore we use gradient clipping to prevent any gradient explosions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# This variable and operation are used to decay the learning rate\n",
    "# as we saw in chapter 8\n",
    "global_step = tf.Variable(0, trainable=False)\n",
    "inc_gstep = tf.assign(global_step,global_step + 1)\n",
    "\n",
    "# We define a decaying learning rate\n",
    "learning_rate = tf.train.exponential_decay(\n",
    "    0.001, global_step, decay_steps=1, decay_rate=0.75, staircase=True)\n",
    "# We define Adam Optimizer\n",
    "optimizer = tf.train.AdamOptimizer(learning_rate)\n",
    "\n",
    "# Gradient clipping\n",
    "gradients, v = zip(*optimizer.compute_gradients(loss))\n",
    "gradients, _ = tf.clip_by_global_norm(gradients, 5.0)\n",
    "optimizer = optimizer.apply_gradients(\n",
    "    zip(gradients, v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resetting Operations for Resetting Hidden States\n",
    "Sometimes the state variable needs to be reset (e.g. when starting predictions at a beginning of a new epoch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "reset_test_state = tf.group(\n",
    "    saved_test_output.assign(tf.zeros([batch_size, num_nodes])),\n",
    "    saved_test_state.assign(tf.zeros([batch_size, num_nodes]))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Running Image Caption Generation\n",
    "\n",
    "We now run the image caption generation using the TensorFlow functions we defined above. First we create data generators to generate training and test data. Then we train the algorithm for `num_steps` number of steps. Each step consists of two iterations. First iteration processes the first half of the full sequence of the inputs in a batch where the second iteration processes the second half. We also calculate the BLEU score over all the data in the validation set as well as display captions generated for a set of hand-picked examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialized variables\n",
      "Started Training\n",
      "\n",
      "============================ Step  100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a a a a a a a EOS EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.1936103206174203\n",
      "\n",
      "============================ Step  200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a man is is is is is is is is is on a table\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is is is is is is is is is is on a\n",
      "COCO_val2014_000000001584.jpg :  SOS a man is is is is is is is is on a table EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is is is is is is is is is is on a\n",
      "COCO_val2014_000000000757.jpg :  SOS a man is is is is is is is is is is on a\n",
      "COCO_val2014_000000004286.jpg :  SOS a man is is is is is is is is is is on a\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is is is is is is on a table EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a man is is is is on a table with a table EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.21676382785112547\n",
      "\n",
      "============================ Step  300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a man is is is is is is is a tennis with a tennis\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is is is is is is is is a tennis with a\n",
      "COCO_val2014_000000001584.jpg :  SOS a man is is is is is is is is a tennis with a\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is is is is is is a tennis player is is is\n",
      "COCO_val2014_000000000757.jpg :  SOS a man is is is is is is is is a tennis player is\n",
      "COCO_val2014_000000004286.jpg :  SOS a man is is is is is is is is a tennis player is\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is is is is is a tennis player is is is is\n",
      "COCO_val2014_000000003690.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.21912886336787102\n",
      "\n",
      "============================ Step  400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a man is sitting on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man is standing on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.21856935109133122\n",
      "\n",
      "============================ Step  500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a man is sitting on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is standing on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a man is standing on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man is standing on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a man is standing on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.21884232285182814\n",
      "\n",
      "============================ Step  600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large clock with a large umbrella EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large large clock with a large building EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a large bus parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of people standing on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe is standing on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of a pizza with a pizza with a pizza EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.22725066874351432\n",
      "\n",
      "============================ Step  700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large clock tower with a large building with a large building EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is standing on a skateboard EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a large clock tower with a large building with a large building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a skateboard on a street EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a group of people are standing in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food and a pizza on a table EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.24855102224925948\n",
      "\n",
      "============================ Step  800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large clock tower with a large building with a large building EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is standing on a skateboard EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a large clock tower with a large building with a large building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is standing on a tennis court EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a zebra standing on a skateboard EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a zebra standing on a skateboard EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is sitting on a table with a table with a plate EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate with a pizza with a pizza with a pizza EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.24056344837725643\n",
      "\n",
      "============================ Step  900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people are standing on a street EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a man is standing on a skateboard on a skateboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a train is parked on a street sign EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket on a tennis court EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a zebra standing on a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a zebra standing on a horse in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a plate of food EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2379224134560861\n",
      "\n",
      "============================ Step  1000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large group of people standing in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a large train is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court with a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man is standing in a field EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a white shirt and a tie EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate with a sandwich on a plate EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.24801203748414813\n",
      "\n",
      "============================ Step  1100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people standing on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying a kite on a skateboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a train is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man is standing on a skateboard on a skateboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a giraffe EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a pizza on a table EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.24867977094144939\n",
      "\n",
      "============================ Step  1200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people are standing in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large bird that is standing on a beach EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a train is on a street with a building EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a field with a baseball bat EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a giraffe standing in a field with a giraffe EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a tennis racket on a tennis court EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a pizza on a table EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.25423028712786255\n",
      "\n",
      "============================ Step  1300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat with a blue shirt and a red shirt and a red shirt\n",
      "COCO_val2014_000000001029.jpg :  SOS a large clock tower with a clock tower and a clock tower EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a train is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and a tie EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racquet in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2531534571116849\n",
      "\n",
      "============================ Step  1400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people riding a wave EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the sky EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a baseball game EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket at a table EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food and a pizza with a pizza on a table EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2558295947403265\n",
      "\n",
      "============================ Step  1500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is on a beach EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the sky EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a street EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a dog EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is sitting on a table EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2597044974828512\n",
      "\n",
      "============================ Step  1600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through a city street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus driving down a street with a building EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court with a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a horse in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man standing in front of a white and white shirt EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate with a sandwich and a sandwich EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26128037666748\n",
      "\n",
      "============================ Step  1700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people standing on a beach EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large plane is flying a kite in the snow EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a zebra is standing on a beach EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing on a beach EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is sitting on a table with a table EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.25774072632458606\n",
      "\n",
      "============================ Step  1800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is flying a kite in the ocean EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying a kite in the ocean EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked in front of a building EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a suit and tie EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone and a laptop EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate with a sandwich and a sandwich and a sandwich EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.251067941684143\n",
      "\n",
      "============================ Step  1900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is flying a kite in the air EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large jet flying a kite in the air EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and a black shirt is playing tennis EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a horse EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is holding a tennis racket EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a sandwich and a sandwich EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2577377612240084\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================ Step  2000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a group of people on a beach with a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a bird is flying a kite in the water EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus driving down a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a herd of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe is standing in a field EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone in a kitchen EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a table EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2570581571336324\n",
      "\n",
      "============================ Step  2100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is on a beach EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the water EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a herd of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26205029868497276\n",
      "\n",
      "============================ Step  2200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is on a beach with a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying in the air with a kite in the water EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street with a bus parked on a street EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork EOS EOS EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26539272024519983\n",
      "\n",
      "============================ Step  2300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is parked on a boat in the water EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a person is flying a kite in the water EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a suit shirt and tie is playing tennis EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit shirt is holding a cell phone EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate of\n",
      "BLEU-4 Score\n",
      "\t 0.2664079486110593\n",
      "\n",
      "============================ Step  2400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is on a beach with a surfboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked in a parking lot with a street EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a kite EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate with a plate with a knife and a plate of food EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26176699286621075\n",
      "\n",
      "============================ Step  2500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is parked on a train track EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket on a tennis court EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in the grass EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.27242473741533385\n",
      "\n",
      "============================ Step  2600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is parked in the water EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air on a beach EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked in a parking lot EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a dog EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.266302629637259\n",
      "\n",
      "============================ Step  2700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is flying a kite in the ocean EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a bird flying a kite in the air EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a street EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man riding a horse in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich on a plate EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2598618095590726\n",
      "\n",
      "============================ Step  2800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is on the beach EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane is flying a kite in the air EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man riding a horse in the snow EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in the grass EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket at a tennis ball EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich with a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2660514005458885\n",
      "\n",
      "============================ Step  2900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked at the beach EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a blue sky EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a city street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a elephant standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a slice of pizza on a plate EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2706622760551148\n",
      "\n",
      "============================ Step  3000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is on a beach EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air on a surfboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man riding a horse in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food on a plate with a knife and a sandwich EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26735501849089277\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  3100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is on a beach with a surfboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air on a surfboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a couple of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich and a sandwich EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2714028089980169\n",
      "\n",
      "============================ Step  3200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked on a beach with a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich on a plate EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26821765251578333\n",
      "\n",
      "============================ Step  3300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the air EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a river EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a city street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a couple of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2620075626419889\n",
      "\n",
      "============================ Step  3400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the air on a skateboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a bridge EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and tie is playing tennis EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a horse in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a blue shirt and tie is sitting on a table EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a sandwich and a fork and a fork EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2705291118065929\n",
      "\n",
      "============================ Step  3500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a large boat is on a beach with a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red truck is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a giraffe standing in the grass EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in the grass EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2705398473340976\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  3600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked on a beach with a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on the side of a road EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in the grass EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone while sitting on a table EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2705255371036038\n",
      "\n",
      "============================ Step  3700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red and white bus is parked on a street EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone while a man in a suit EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2749622468011004\n",
      "\n",
      "============================ Step  3800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is on a beach with a surfboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a river with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street corner EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing in a field with a horse EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in front of a laptop EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2756740153938318\n",
      "\n",
      "============================ Step  3900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked on the beach EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a body of water EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt is playing tennis on a tennis court EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2734801086141186\n",
      "\n",
      "============================ Step  4000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a river with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a suit and a tennis racket EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man riding a horse in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich EOS EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2810549001993849\n",
      "\n",
      "============================ Step  4100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying in the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt is playing tennis on a tennis court EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man in a hat and a hat is standing in a field EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is holding a cell phone EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a knife and a fork and a fork EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2707176128567617\n",
      "\n",
      "============================ Step  4200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying in the sky with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a large bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and tie EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone while holding a cell phone EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2815893555611682\n",
      "\n",
      "============================ Step  4300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the air on a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a blue sky EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus driving down a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt is playing tennis on a tennis court EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a horse in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large white horse EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby in a blue shirt EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2741339722689311\n",
      "\n",
      "============================ Step  4400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a bridge with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus driving down a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a horse in the snow EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.27891734965893483\n",
      "\n",
      "============================ Step  4500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a bridge in the sky EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street corner EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt is playing tennis on a tennis court EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing in front of a horse EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large tree EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is sitting on a table EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2731590831115327\n",
      "\n",
      "============================ Step  4600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a bridge with a red sky background EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man riding a horse in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2758247887331484\n",
      "\n",
      "============================ Step  4700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a street sign EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field EOS EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone on a cell phone EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.26682077207012495\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  4800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a bridge in the air EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus driving down a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a couple of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a dog EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a cell phone EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.27715010878587276\n",
      "\n",
      "============================ Step  4900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus driving down a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe is standing in a field with a large tree EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is holding a cell phone EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a sandwich on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2780620116253453\n",
      "\n",
      "============================ Step  5000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat with a boat in the water EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a sky background EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus driving down a street with a street sign EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and tie is playing tennis EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field with a large tree EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large tree EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is sitting on a table EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.27592552771426054\n",
      "\n",
      "============================ Step  5100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying over a blue sky EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus driving down a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a blue shirt and tie EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a horse in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is sitting on a table EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2790891786040861\n",
      "\n",
      "============================ Step  5200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a blue sky EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in the grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.279701960902571\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  5300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a blue sky EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus on a street EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a dog EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork and a fork EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.27785372830770977\n",
      "\n",
      "============================ Step  5400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying over a large body of water EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus on a street EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a tennis court EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2798197282039798\n",
      "\n",
      "============================ Step  5500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air on a surfboard EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe is standing in a field EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket in a baseball game EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2780425507399303\n",
      "\n",
      "============================ Step  5600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane is flying through the air on a surfboard EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a group of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe is standing in a field EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2836169670402648\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================ Step  5700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a sky background EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is holding a cell phone EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich on a plate with a sandwich on\n",
      "BLEU-4 Score\n",
      "\t 0.27971893930678127\n",
      "\n",
      "============================ Step  5800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky in the sky EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant is standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a woman holding a cell phone in a restaurant EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2778982492840837\n",
      "\n",
      "============================ Step  5900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant is standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large tree EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a restaurant EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2776982248961175\n",
      "\n",
      "============================ Step  6000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large jetliner flying through the sky in the sky EOS EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field with a frisbee EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2787033074670561\n",
      "\n",
      "============================ Step  6100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large jetliner flying through the air with a kite in the sky EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus driving down a street with a man in a parking lot EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass near a field EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich on a plate with a knife and\n",
      "BLEU-4 Score\n",
      "\t 0.28515561567753434\n",
      "\n",
      "============================ Step  6200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a kite in the air EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a man standing on a horse in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a woman holding a cell phone in a kitchen EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a knife and a fork and a fork EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2849443189265254\n",
      "\n",
      "============================ Step  6300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant is standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone in a kitchen EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.28506135715755787\n",
      "\n",
      "============================ Step  6400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air and a kite flying over a beach\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a man in a red shirt\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a woman holding a cell phone in a kitchen EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.28336077475924953\n",
      "\n",
      "============================ Step  6500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a sky background EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a street sign EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2834290487560739\n",
      "\n",
      "============================ Step  6600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a kite in the sky EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant is standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a dog EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a baby elephant EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2809518051339536\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  6700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a sky background EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a red bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket in a tennis court EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field with a large elephant EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2793431090415202\n",
      "\n",
      "============================ Step  6800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a kite flying over a beach\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a baby elephant EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork and\n",
      "BLEU-4 Score\n",
      "\t 0.2795574249196234\n",
      "\n",
      "============================ Step  6900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a kite in the sky EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is holding a cell phone EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28333194258735117\n",
      "\n",
      "============================ Step  7000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a kite in the sky EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is hitting a tennis ball with a tennis racket EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a large brown bear standing in a field with a large elephant EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a woman holding a cell phone in a room EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2829509019827592\n",
      "\n",
      "============================ Step  7100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a large airplane flying through the air with a sky background EOS EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street next to a building EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie is holding a cell phone EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork and a fork EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827316296101346\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  7200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street next to a building EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe is standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a tennis racket in a field EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork on\n",
      "BLEU-4 Score\n",
      "\t 0.28264741530704846\n",
      "\n",
      "============================ Step  7300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus parked on a street next to a building EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork and a fork EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2834087150976434\n",
      "\n",
      "============================ Step  7400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a couple of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2819264530079425\n",
      "\n",
      "============================ Step  7500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the sky EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28274329471850074\n",
      "\n",
      "============================ Step  7600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2807246383555871\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  7700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a court EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a couple of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a dog EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2840778219361761\n",
      "\n",
      "============================ Step  7800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2836984336228868\n",
      "\n",
      "============================ Step  7900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826095428721133\n",
      "\n",
      "============================ Step  8000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a couple of elephants standing in a field EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man in a suit and tie EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28300347819666005\n",
      "\n",
      "============================ Step  8100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a court EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a hot dog EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a plate of food with a sandwich and a fork on a plate EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28007519080559656\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  8200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a court EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28163974331581576\n",
      "\n",
      "============================ Step  8300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red double decker bus driving down a street with a bus EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field of grass EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2830434496605038\n",
      "\n",
      "============================ Step  8400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2859244155524397\n",
      "\n",
      "============================ Step  8500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red double decker bus is parked on a street next to a building\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man is holding a hot dog EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.282716053407788\n",
      "\n",
      "============================ Step  8600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a bus is parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2831447389357729\n",
      "\n",
      "============================ Step  8700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street next to a building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28497655319874293\n",
      "\n",
      "============================ Step  8800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2832880670720511\n",
      "\n",
      "============================ Step  8900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28271328866881545\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  9000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2840980799387492\n",
      "\n",
      "============================ Step  9100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the sky with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2858863330312323\n",
      "\n",
      "============================ Step  9200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28309967073201814\n",
      "\n",
      "============================ Step  9300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street next to a building EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28252908820554223\n",
      "\n",
      "============================ Step  9400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28328670748414314\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  9500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a baby elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2834062659137905\n",
      "\n",
      "============================ Step  9600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2847461896626794\n",
      "\n",
      "============================ Step  9700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street next to a building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large clock EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2830605883955963\n",
      "\n",
      "============================ Step  9800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a large elephant EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.284922252424225\n",
      "\n",
      "============================ Step  9900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street next to a building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is playing tennis on a tennis court EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28248417743328796\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  10000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street next to a building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28369572331101295\n",
      "\n",
      "============================ Step  10100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street with a bus EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a baby elephant EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2837742565046617\n",
      "\n",
      "============================ Step  10200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus is parked on a street next to a building EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28314396514480333\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================ Step  10300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street next to a building EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2843790766229874\n",
      "\n",
      "============================ Step  10400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2829991192783806\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  10500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28407754929623286\n",
      "\n",
      "============================ Step  10600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2833060917845413\n",
      "\n",
      "============================ Step  10700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28272132482657797\n",
      "\n",
      "============================ Step  10800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28223819028329933\n",
      "\n",
      "============================ Step  10900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28147361366957313\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  11000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2824068627840628\n",
      "\n",
      "============================ Step  11100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.282351569377966\n",
      "\n",
      "============================ Step  11200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2841904461112723\n",
      "\n",
      "============================ Step  11300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2825318522245825\n",
      "\n",
      "============================ Step  11400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28259625747980543\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  11500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28247284984033544\n",
      "\n",
      "============================ Step  11600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the sky EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2836882291196387\n",
      "\n",
      "============================ Step  11700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2833854132360128\n",
      "\n",
      "============================ Step  11800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a tennis player is swinging a tennis racket on a court EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2824735736656006\n",
      "\n",
      "============================ Step  11900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28285939628893497\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  12000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2815440222080939\n",
      "\n",
      "============================ Step  12100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000000885.jpg :  SOS a man holding a tennis racket EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2830206839781429\n",
      "\n",
      "============================ Step  12200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28319740320762266\n",
      "\n",
      "============================ Step  12300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2825852247985095\n",
      "\n",
      "============================ Step  12400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2840746988774808\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  12500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2837765842187598\n",
      "\n",
      "============================ Step  12600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man in a tennis court holding a tennis racket EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2844021382229462\n",
      "\n",
      "============================ Step  12700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28328109347671687\n",
      "\n",
      "============================ Step  12800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28388740644543287\n",
      "\n",
      "============================ Step  12900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2837121225344285\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  13000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in the grass EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28327799548271576\n",
      "\n",
      "============================ Step  13100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28271565515165403\n",
      "\n",
      "============================ Step  13200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826653740420046\n",
      "\n",
      "============================ Step  13300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2822929426814822\n",
      "\n",
      "============================ Step  13400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28278799589268494\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  13500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2821433246761771\n",
      "\n",
      "============================ Step  13600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2823952639163394\n",
      "\n",
      "============================ Step  13700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28228344033289987\n",
      "\n",
      "============================ Step  13800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.282291420906986\n",
      "\n",
      "============================ Step  13900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2830856545996466\n",
      "Dropping learning rate\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================ Step  14000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826327966285938\n",
      "\n",
      "============================ Step  14100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28278875584285423\n",
      "\n",
      "============================ Step  14200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28283858342694607\n",
      "\n",
      "============================ Step  14300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2829492687575301\n",
      "\n",
      "============================ Step  14400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827148070808847\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  14500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2830923739934838\n",
      "\n",
      "============================ Step  14600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28259729283278073\n",
      "\n",
      "============================ Step  14700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28258086701519686\n",
      "\n",
      "============================ Step  14800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28255953007386314\n",
      "\n",
      "============================ Step  14900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28271917857116674\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  15000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28279368200737\n",
      "\n",
      "============================ Step  15100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826747507438056\n",
      "\n",
      "============================ Step  15200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28299101603190274\n",
      "\n",
      "============================ Step  15300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28291464545050304\n",
      "\n",
      "============================ Step  15400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28288511116475623\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  15500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2825806116224328\n",
      "\n",
      "============================ Step  15600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2822299211969345\n",
      "\n",
      "============================ Step  15700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28220021322025657\n",
      "\n",
      "============================ Step  15800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28217965620363367\n",
      "\n",
      "============================ Step  15900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28229473621689655\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  16000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28229327372204605\n",
      "\n",
      "============================ Step  16100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28245826653040934\n",
      "\n",
      "============================ Step  16200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2824340043361614\n",
      "\n",
      "============================ Step  16300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.282680521310367\n",
      "\n",
      "============================ Step  16400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2824352781109479\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  16500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2825281510811667\n",
      "\n",
      "============================ Step  16600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28219230663323536\n",
      "\n",
      "============================ Step  16700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2823401503902784\n",
      "\n",
      "============================ Step  16800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2824963366577774\n",
      "\n",
      "============================ Step  16900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.282408667415287\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  17000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28243382669933875\n",
      "\n",
      "============================ Step  17100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2824772310320958\n",
      "\n",
      "============================ Step  17200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826074220530731\n",
      "\n",
      "============================ Step  17300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28280341607153503\n",
      "\n",
      "============================ Step  17400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2825090995587655\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  17500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827162077973501\n",
      "\n",
      "============================ Step  17600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28273330443800476\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================ Step  17700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28288347713518414\n",
      "\n",
      "============================ Step  17800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2830029867727955\n",
      "\n",
      "============================ Step  17900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28282838778720576\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  18000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28285165400040624\n",
      "\n",
      "============================ Step  18100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827949517494712\n",
      "\n",
      "============================ Step  18200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28278681356566576\n",
      "\n",
      "============================ Step  18300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28263668339017384\n",
      "\n",
      "============================ Step  18400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28263668339017384\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  18500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28268839956634534\n",
      "\n",
      "============================ Step  18600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2825402238013779\n",
      "\n",
      "============================ Step  18700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28265267197999044\n",
      "\n",
      "============================ Step  18800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826508340710059\n",
      "\n",
      "============================ Step  18900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28263380763516127\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  19000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827002567853265\n",
      "\n",
      "============================ Step  19100  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2826469260222073\n",
      "\n",
      "============================ Step  19200  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827581686906983\n",
      "\n",
      "============================ Step  19300  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827450503036523\n",
      "\n",
      "============================ Step  19400  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2827667429429113\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  19500  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.2828001334645546\n",
      "\n",
      "============================ Step  19600  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28281325185160067\n",
      "\n",
      "============================ Step  19700  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28277986132995736\n",
      "\n",
      "============================ Step  19800  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28275242184723615\n",
      "\n",
      "============================ Step  19900  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28275242184723615\n",
      "Dropping learning rate\n",
      "\n",
      "============================ Step  20000  ==================================\n",
      "COCO_val2014_000000003832.jpg :  SOS a boat is docked in the water EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001029.jpg :  SOS a plane flying through the air with a kite in the air EOS EOS\n",
      "COCO_val2014_000000001584.jpg :  SOS a red bus parked on a street with a bus EOS EOS EOS EOS\n",
      "COCO_val2014_000000000885.jpg :  SOS a man is holding a tennis racket EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000000757.jpg :  SOS a large elephant standing in a field of grass EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000004286.jpg :  SOS a giraffe standing in a field with a frisbee EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000001296.jpg :  SOS a man holding a cell phone EOS EOS EOS EOS EOS EOS EOS EOS\n",
      "COCO_val2014_000000003690.jpg :  SOS a pizza with a fork and a fork on a plate EOS EOS EOS\n",
      "BLEU-4 Score\n",
      "\t 0.28277831312763413\n"
     ]
    }
   ],
   "source": [
    "# Training data generator\n",
    "train_data_generator = DataGeneratorSeq(batch_size=batch_size,num_unroll=num_unrollings,cap_length=sequence_length,\n",
    "                     image_vector_file='image_caption_data' + os.sep +'train_valid' + \\\n",
    "                      os.sep + 'image_encodings' + os.sep + 'train_image_encodings.json',is_train=True)\n",
    "\n",
    "# Validation data generator\n",
    "valid_data_generator = DataGeneratorSeq(batch_size=batch_size,num_unroll=1,cap_length=sequence_length,\n",
    "                     image_vector_file='image_caption_data' + os.sep +'train_valid' + \\\n",
    "                      os.sep + 'image_encodings' + os.sep + 'valid_image_encodings.json',is_train=False)\n",
    "\n",
    "# These image will be used to visually analyze the generated text\n",
    "selected_images_to_view = ['COCO_val2014_000000000757.jpg','COCO_val2014_000000001029.jpg',\n",
    "                           'COCO_val2014_000000001296.jpg','COCO_val2014_000000001369.jpg','COCO_val2014_000000001584.jpg',\n",
    "                          'COCO_val2014_000000000885.jpg','COCO_val2014_000000003690.jpg','COCO_val2014_000000003832.jpg',\n",
    "                           'COCO_val2014_000000004286.jpg','COCO_val2014_000000007444.jpg']\n",
    "\n",
    "# Used for various testing/validation phase calculations\n",
    "valid_image_data = json.load(open('image_caption_data' + os.sep +'train_valid' + \\\n",
    "                                          os.sep + 'image_encodings' + os.sep + 'valid_image_encodings.json'))\n",
    "valid_fnames, valid_image_vectors = valid_image_data.keys(), valid_image_data.values()\n",
    "        \n",
    "# Create a session\n",
    "config = tf.ConfigProto()\n",
    "config.gpu_options.allow_growth = True\n",
    "config.gpu_options.per_process_gpu_memory_fraction = 0.8\n",
    "config.allow_soft_placement=True\n",
    "sess = tf.InteractiveSession(config=config)\n",
    "\n",
    "# Initialize all variables\n",
    "tf.global_variables_initializer().run()\n",
    "print('Initialized variables')\n",
    "bleu_over_time = [0]\n",
    "\n",
    "# Used to decay the learning rate\n",
    "bleu_drop = 0\n",
    "bleu_drop_threshold = 5\n",
    "\n",
    "num_steps = 20001\n",
    "print('Started Training')\n",
    "for step in range(num_steps):\n",
    "    \n",
    "    # Each step has two training iterations\n",
    "    # First iteration: Process the first half of the data sequence (image feature vector and following captions)\n",
    "    # Second iteration: Processing the rest of the words in the caption\n",
    "    \n",
    "    # =================================================================\n",
    "    # First step done starting from the image vector\n",
    "    u_data, u_labels = train_data_generator.unroll_batches(first_set=True)\n",
    "    \n",
    "    # Populate the feed_dict dictionary\n",
    "    # Feeding in inputs to all num_unrollings placeholders\n",
    "    feed_dict = {}\n",
    "    for ui,(dat,lbl) in enumerate(zip(u_data,u_labels)):            \n",
    "        feed_dict[train_inputs[ui]] = dat\n",
    "        feed_dict[train_labels[ui]] = lbl\n",
    "        if ui==0:\n",
    "            feed_dict[is_train_text[ui]] = False\n",
    "        else:\n",
    "            feed_dict[is_train_text[ui]] = True\n",
    "        \n",
    "    # Running TensorFlow operations\n",
    "    _, l = sess.run([optimizer, loss], feed_dict=feed_dict)\n",
    "\n",
    "    # =================================================================\n",
    "    # Second iteration: Processing the rest of the words in the caption\n",
    "    u_data, u_labels = train_data_generator.unroll_batches(first_set=False)\n",
    "    \n",
    "    feed_dict = {}\n",
    "    for ui,(dat,lbl) in enumerate(zip(u_data,u_labels)):            \n",
    "        feed_dict[train_inputs[ui]] = dat\n",
    "        feed_dict[train_labels[ui]] = lbl\n",
    "        feed_dict[is_train_text[ui]] = True\n",
    "        #print(['( %s; %s ) '%(reverse_dictionary[tid],reverse_dictionary[til]) for tid,til in zip(np.argmax(dat,axis=1),np.argmax(lbl,axis=1))])\n",
    "\n",
    "    # Running TensorFlow operations\n",
    "    _, l = sess.run([optimizer, loss], feed_dict=feed_dict)\n",
    "\n",
    "    \n",
    "    if (step+1)%100==0:\n",
    "        # =======================================================================================\n",
    "        # Validation/Testing phase\n",
    "        print('\\n============================ Step ',step+1,' ==================================')\n",
    "        \n",
    "        # Make sure the filenames and image vectors lists\n",
    "        valid_fnames = list(valid_fnames)\n",
    "        valid_image_vectors = list(valid_image_vectors)\n",
    "\n",
    "        # This will be populated with all the predictions we make,\n",
    "        # For each of the 1000 images in the validation set\n",
    "        all_test_predictions = ['' for _ in range(len(valid_fnames))]\n",
    "        \n",
    "        # Calculates the BLEU score for the validation set\n",
    "        bleu_for_dataset = []\n",
    "        \n",
    "        # Process validation/test data as batches\n",
    "        for test_batch_index in range(0, len(valid_fnames)-batch_size,batch_size):\n",
    "            \n",
    "            # The first input would be the batch of image vectors\n",
    "            curr_inputs_batch = valid_image_vectors[test_batch_index: test_batch_index + batch_size]\n",
    "            \n",
    "            # Get the predictions out\n",
    "            pred_batch = sess.run(\n",
    "                test_prediction,\n",
    "                feed_dict={test_input:np.asarray(curr_inputs_batch),test_is_train_text:False}\n",
    "            )\n",
    "            \n",
    "            # Using the word ID, get the word string using the reverse dictionary for each item in the batch\n",
    "\n",
    "            # This variable is used for display purposes alone\n",
    "            pred_sentence_batch = [reverse_dictionary[np.asscalar(np.argmax(pred_batch[ri,:]))] for ri in range(batch_size)]\n",
    "            \n",
    "            # Get the word list predicted for each item in the batch\n",
    "            # for max_caption_length+2 steps\n",
    "            # We don't put the first word in to pred_word_list_batch as it is 'SOS' and \n",
    "            # we don't need that to calculate the BLEU\n",
    "            # We iteratively feed the previous prediction's word embedding\n",
    "            # as the input of the next time step\n",
    "            pred_word_list_batch = [[] for ri in range(batch_size)] \n",
    "            for valid_step in range(max_caption_length+2):\n",
    "                curr_inputs_batch = np.concatenate([np.argmax(pred_batch,axis=1).reshape(-1,1), np.zeros(shape=(batch_size,input_size-1))],axis=1)\n",
    "                pred_batch = sess.run(test_prediction,feed_dict={test_input:curr_inputs_batch,test_is_train_text:True})\n",
    "                for bi1 in range(batch_size):\n",
    "                    max_pred = np.asscalar(np.argmax(pred_batch[bi1]))\n",
    "                    pred_sentence_batch[bi1] = pred_sentence_batch[bi1] + ' ' + reverse_dictionary[max_pred] \n",
    "                    # If the output is EOS we do not add that to calculate BLEU\n",
    "                    if reverse_dictionary[max_pred]  != 'EOS':\n",
    "                        pred_word_list_batch[bi1] = pred_word_list_batch[bi1] + [reverse_dictionary[max_pred]]\n",
    "            \n",
    "            # Calculating BLEU for batch\n",
    "            # A list of BLEU values for each prediction\n",
    "            bleu_for_batch = []\n",
    "            for bi in range(batch_size):\n",
    "                all_test_predictions[test_batch_index+bi] = pred_sentence_batch[bi]\n",
    "                bleu_for_batch.append(bleu_score.sentence_bleu(\n",
    "                    valid_fname_caption_map[valid_fnames[test_batch_index+bi]], pred_word_list_batch[bi],\n",
    "                    smoothing_function=bleu_score.SmoothingFunction().method4)\n",
    "                                     )\n",
    "                if valid_fnames[test_batch_index + bi] in selected_images_to_view:\n",
    "                    print(valid_fnames[test_batch_index + bi],': ',pred_sentence_batch[bi])\n",
    "            \n",
    "            # Get the mean of the BLEUs for this batch and\n",
    "            # append it to the global list\n",
    "            bleu_for_dataset.append(np.mean(bleu_for_batch))\n",
    "            \n",
    "            sess.run(reset_test_state)\n",
    "        \n",
    "        \n",
    "        print('BLEU-4 Score')\n",
    "        current_bscore = np.mean(bleu_for_dataset)\n",
    "        print('\\t',current_bscore)\n",
    "        \n",
    "        # Decaying learning rate\n",
    "        # If the bleu score has not improved in\n",
    "        # bleu_drop_threshold steps\n",
    "        \n",
    "        if current_bscore < max(bleu_over_time):\n",
    "            bleu_drop += 1\n",
    "        else:\n",
    "            bleu_drop = 0\n",
    "        \n",
    "        if bleu_drop >= bleu_drop_threshold:\n",
    "            sess.run(inc_gstep)\n",
    "            print('Dropping learning rate')\n",
    "            bleu_drop = 0\n",
    "            \n",
    "        bleu_over_time.append(current_bscore)    \n",
    "        "
   ]
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